CN108454327B - Tire pressure detection method, device and terminal - Google Patents
Tire pressure detection method, device and terminal Download PDFInfo
- Publication number
- CN108454327B CN108454327B CN201810078758.5A CN201810078758A CN108454327B CN 108454327 B CN108454327 B CN 108454327B CN 201810078758 A CN201810078758 A CN 201810078758A CN 108454327 B CN108454327 B CN 108454327B
- Authority
- CN
- China
- Prior art keywords
- wheel speed
- speed deviation
- wheel
- tire pressure
- vehicle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title abstract description 40
- 238000000034 method Methods 0.000 claims abstract description 80
- 230000008569 process Effects 0.000 claims abstract description 25
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 230000005856 abnormality Effects 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 17
- 238000004590 computer program Methods 0.000 claims description 2
- 230000011218 segmentation Effects 0.000 claims description 2
- 238000004883 computer application Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 11
- 238000004891 communication Methods 0.000 description 10
- 238000012545 processing Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 5
- 230000005236 sound signal Effects 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 3
- 230000006855 networking Effects 0.000 description 3
- 230000009471 action Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 238000005299 abrasion Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60C—VEHICLE TYRES; TYRE INFLATION; TYRE CHANGING; CONNECTING VALVES TO INFLATABLE ELASTIC BODIES IN GENERAL; DEVICES OR ARRANGEMENTS RELATED TO TYRES
- B60C23/00—Devices for measuring, signalling, controlling, or distributing tyre pressure or temperature, specially adapted for mounting on vehicles; Arrangement of tyre inflating devices on vehicles, e.g. of pumps or of tanks; Tyre cooling arrangements
- B60C23/02—Signalling devices actuated by tyre pressure
- B60C23/04—Signalling devices actuated by tyre pressure mounted on the wheel or tyre
- B60C23/0408—Signalling devices actuated by tyre pressure mounted on the wheel or tyre transmitting the signals by non-mechanical means from the wheel or tyre to a vehicle body mounted receiver
- B60C23/0481—System diagnostic, e.g. monitoring battery voltage, detecting hardware detachments or identifying wireless transmission failures
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mechanical Engineering (AREA)
- Measuring Fluid Pressure (AREA)
Abstract
The invention discloses a tire pressure detection method, a tire pressure detection device and a tire pressure detection terminal, and belongs to the technical field of computer application. The method comprises the following steps: the method comprises the steps of obtaining a running track of a vehicle in the running process, segmenting the running track of the vehicle, selecting linear track segments, calculating the average wheel speed deviation of a wheel in the linear track segments according to the wheel speed indicated by the linear track segments, and judging whether the wheel has abnormal tire pressure or not by comparing the average wheel speed deviation with the preset standard wheel speed deviation. The tire pressure detection method, the tire pressure detection device and the tire pressure detection terminal can improve the convenience and efficiency of tire pressure detection when a vehicle runs.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a tire pressure detection method, a tire pressure detection device and a tire pressure detection terminal.
Background
Tire pressure is an important index which needs to be paid attention to in the running process of a vehicle, and the service life of the tire is seriously influenced by overhigh or overlow tire pressure. The tire pressure is too low in price, so that the deformation of a tire body of the tire is increased, the tire side is easy to crack, the grounding area of the tire is increased, the oil consumption of a vehicle is increased, the abrasion of the tire is accelerated, the tire is easy to generate heat and burst during high-speed running, and a large potential safety hazard is caused; when the tire pressure is too high, the tire is excessively stretched and deformed, the elasticity of the tire body is reduced, and the load applied to the vehicle in the running process is increased.
At present, when the tire pressure of a vehicle is detected, the tire pressure can be detected only by requiring the vehicle to run according to the specified strict requirement, if the tire pressure is not detected strictly according to the specified requirement, a larger deviation occurs between a detection result and an actual result, namely the environment requirement of the tire pressure detection is strict, and the efficiency and the convenience of the tire pressure detection are greatly influenced.
Disclosure of Invention
The invention provides a tire pressure detection method, a tire pressure detection device and a tire pressure detection terminal, aiming at solving the technical problems of poor tire pressure detection efficiency and poor convenience in the related art.
In a first aspect, a tire pressure detecting method is provided, including:
acquiring a running track in the running process of a vehicle; segmenting the running track of the vehicle, and selecting a straight track segment;
calculating the average wheel speed deviation of the wheel in the straight track segment according to the wheel speed indicated by the straight track segment;
and comparing the average wheel speed deviation with a preset reference wheel speed deviation to judge whether the tire pressure of the wheel is abnormal.
Optionally, the step of segmenting the running track of the vehicle and selecting the straight track segment includes:
acquiring the running direction of each time point in the running process of the vehicle;
segmenting the running track of the vehicle according to the running direction of each time point to obtain track segments;
and selecting a straight track segment from the track segments.
Optionally, after the step of segmenting the running track of the vehicle and selecting a straight track segment, the method further includes:
calculating left and right wheel speed deviation between the left wheel speed and the right wheel speed according to the wheel speeds indicated by the straight line track segments;
and when the left and right wheel speed deviation reaches a left and right wheel speed deviation threshold value, determining that at least one of the left wheel speed and the right wheel speed has abnormal tire pressure.
Optionally, before the step of comparing the average wheel speed deviation with a preset reference wheel speed deviation and determining whether the tire pressure of the wheel is abnormal, the method further includes:
selecting a plurality of straight track segments from the running track of the vehicle;
when a left-right wheel speed deviation between a left wheel speed and a right wheel speed in the plurality of linear track segments does not reach a left-right wheel speed deviation threshold value, calculating an average wheel speed deviation of the wheel in the plurality of linear track segments, and determining as the reference wheel speed deviation.
Optionally, the step of calculating an average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the straight track segment includes:
determining two wheels corresponding to the wheels, and calculating the wheel speed mean value of the two wheels on the straight track segment, wherein the front wheels and the rear wheels in the vehicle correspond to each other;
and calculating the average wheel speed deviation of the wheel in the straight track segment according to the wheel speed indicated by the wheel in the straight track segment and the wheel speed average value.
Optionally, the step of comparing the average wheel speed deviation with a pre-calculated reference wheel speed deviation to determine whether the tire pressure of the wheel is abnormal includes:
calculating a difference between the average wheel speed deviation and a reference wheel speed deviation;
and when the difference value reaches a deviation threshold value, determining that the tire pressure abnormality exists in the wheel.
In a second aspect, there is provided a tire pressure detecting device including:
the running track acquisition module is used for acquiring a running track in the running process of the vehicle;
the linear track segment selection module is used for segmenting the running track of the vehicle and selecting linear track segments;
the average wheel speed deviation calculation module is used for calculating the average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the straight track segment;
and the tire pressure abnormity judging module is used for judging whether the tire pressure is abnormal or not by comparing the average wheel speed deviation with a preset reference wheel speed deviation.
Optionally, the straight track segment selecting module includes:
the running direction acquiring unit is used for acquiring the running direction of each time point in the running process of the vehicle;
the segment segmentation unit is used for segmenting the running track of the vehicle according to the running direction of each time point to obtain track segments;
and the segment selection unit is used for selecting the linear track segment from the track segments.
Optionally, the apparatus further comprises:
the left and right wheel speed deviation calculation module is used for calculating left and right wheel speed deviation between the left wheel speed and the right wheel speed according to the wheel speed indicated by the straight line track segment;
and the tire pressure abnormity determining module is used for determining that at least one of the left wheel speed and the right wheel speed has tire pressure abnormity when the left and right wheel speed deviation reaches a left and right wheel speed deviation threshold value.
Optionally, the apparatus further comprises:
the multi-segment selection module is used for selecting a plurality of straight track segments from the running track of the vehicle;
and a reference wheel speed deviation determining module, configured to calculate an average wheel speed deviation of the wheel in the plurality of linear track segments and determine the average wheel speed deviation as the reference wheel speed deviation when a left-right wheel speed deviation between a left wheel speed and a right wheel speed in the plurality of linear track segments does not reach a left-right wheel speed deviation threshold value.
Optionally, the average wheel speed deviation calculating module includes:
the wheel speed mean value calculating unit is used for determining two wheels corresponding to the wheels, calculating the wheel speed mean value of the two wheels on the straight track segment, wherein the front wheels and the rear wheels in the vehicle correspond to each other;
and the average wheel speed deviation calculating unit is used for calculating the average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the wheel on the straight track segment and the wheel speed average value.
Optionally, the tire pressure abnormality determination module includes:
a difference calculation unit for calculating a difference between the average wheel speed deviation and a reference wheel speed deviation;
and the tire pressure abnormity determining unit is used for determining that the tire pressure abnormity exists in the wheel when the difference value reaches a deviation threshold value.
In a third aspect, a terminal is provided, including:
a processor; and
a memory communicatively coupled to the processor; wherein,
the memory stores readable instructions which, when executed by the processor, implement the method of the first aspect.
In a fourth aspect, a computer readable storage medium is provided, having stored thereon a computer program which, when executed, implements the method of the first aspect.
The technical scheme provided by the embodiment of the invention can obtain the following beneficial effects:
when the tire pressure of a vehicle is detected, the running track in the running process of the vehicle is obtained, the running track of the vehicle is segmented, linear track segments are selected, the average wheel speed deviation of wheels in the linear track segments is calculated according to the wheel speed indicated by the linear track segments, the average wheel speed deviation is compared with the pre-calculated standard wheel speed deviation, and whether the tire pressure of the wheels is abnormal is judged.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic illustration of an implementation environment according to the present invention.
Fig. 2 is a flow chart illustrating a tire pressure detection method according to an exemplary embodiment.
Fig. 3 is a flowchart illustrating a specific implementation of step S120 in the tire air pressure detecting method according to the corresponding embodiment of fig. 2.
Fig. 4 is another tire air pressure detecting method according to the corresponding embodiment of fig. 2.
Fig. 5 is another tire air pressure detecting method according to the corresponding embodiment of fig. 2.
Fig. 6 is a flowchart illustrating a specific implementation of step S130 in the tire air pressure detecting method according to the corresponding embodiment of fig. 2.
Fig. 7 is a flowchart illustrating a specific implementation of step S140 in the tire air pressure detecting method according to the corresponding embodiment of fig. 2.
Fig. 8 is a block diagram illustrating a tire air pressure detecting device according to an exemplary embodiment.
Fig. 9 is a block diagram of the straight track segment extracting module 120 in the tire pressure detecting device according to the corresponding exemplary embodiment of fig. 8.
Fig. 10 is a block diagram of another tire air pressure detecting device according to the corresponding embodiment of fig. 8.
Fig. 11 is a block diagram of another tire air pressure detecting device according to the corresponding embodiment of fig. 8.
Fig. 12 is a block diagram of an average wheel speed deviation calculation module 130 in the tire air pressure detecting device shown in fig. 8 according to the corresponding exemplary embodiment.
Fig. 13 is a block diagram of the abnormal tire pressure determination module 140 in the tire air pressure detecting device shown in accordance with the corresponding exemplary embodiment of fig. 8.
Fig. 14 is a block diagram illustrating a terminal according to an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the invention, as set forth in the claims below.
FIG. 1 is a schematic illustration of an implementation environment according to the present invention. The implementation environment includes: a terminal 100 and a vehicle 200.
The terminal 100 and the vehicle 200 are connected by a wired or wireless network. The terminal 100 obtains the running track of the vehicle 200 in the running process, and then performs tire pressure detection on the vehicle 200 according to the motion parameters in the running track.
Fig. 2 is a flowchart illustrating a tire pressure detecting method according to an exemplary embodiment, where the application scope and the execution subject of the tire pressure detecting method may be the terminal 100 in the implementation environment shown in fig. 1, for example, an On-Board Diagnostic (OBD) networking box with an OBD function installed in a vehicle. As shown in fig. 2, the tire air pressure detecting method may include the following steps.
In step S110, a running locus during running of the vehicle is acquired.
And in the running process of the vehicle, the running track of the vehicle is collected.
For example, the running locus of the vehicle is acquired by an On-Board Diagnostic (OBD) system installed in the vehicle.
The running track of the vehicle comprises characteristic parameters such as the moving direction of the vehicle and the wheel speed of each wheel.
The running track of the vehicle may be a running track acquired when the vehicle runs in any manner. For example, the running track acquired when the vehicle runs in a straight line or a curve, the running track acquired when the vehicle runs at a constant speed or a variable speed, or the running track acquired when the vehicle runs in other modes may be provided, and the running tracks of the vehicle are not described one by one here.
In step S120, the trajectory of the vehicle is segmented, and a straight trajectory segment is selected.
The method for segmenting the moving track of the vehicle includes a plurality of methods, the moving track of the vehicle may be segmented according to a preset time interval, the moving track of the vehicle may be segmented according to the moving direction of the vehicle, or the moving track of the vehicle may be segmented according to other methods.
The straight track segment is a running track of which the running direction is kept straight in the running track of the vehicle.
After the moving track of the vehicle is segmented, a straight track segment which moves in a straight line is selected from the segmented moving track.
In step S130, an average wheel speed deviation of the wheel on the straight track segment is calculated based on the wheel speed indicated by the straight track segment.
The wheel speed is the speed of the wheel, for example the wheel speed may be the angular velocity of the wheel, etc.
In an exemplary embodiment, since the OBD includes data of engine speed, vehicle speed, steering wheel angle, wheel speed, etc., the wheel speed may be directly obtained from the OBD. Besides, the wheel speed of the tire can be obtained in other manners, which is not described in detail herein.
It can be seen that hardware costs, installation and maintenance costs caused by the fact that a pressure sensor/air pressure sensor, a wireless module, a power supply and the like are arranged on a vehicle wheel are avoided by directly acquiring the wheel speed from the OBD.
The average wheel speed deviation is the deviation between the wheel speed of one wheel and the wheel speeds of the other wheels in the straight trajectory segment.
For example, an average wheel speed deviation of the left front wheel or the right front wheel at a straight track segment is calculated from the wheel speeds of the left front wheel and the right front wheel at the straight track segment.
For another example, the average wheel speed deviation of the left front wheel in the straight track segment is calculated based on the wheel speeds of the left front wheel, the left rear wheel and the right rear wheel in the straight track segment.
It should be noted that the average wheel speed deviation may be an absolute deviation of the wheel speed, or may be a relative deviation of the wheel speed.
In step S140, it is determined whether the tire pressure abnormality exists in the wheel by comparing the average wheel speed deviation with a preset reference wheel speed deviation.
The reference wheel speed deviation is a deviation threshold value of the wheel speed when the tire pressure is normal.
The reference wheel speed deviation may be an absolute deviation of the wheel speed, or may be a relative deviation of the wheel speed, similar to the average wheel speed deviation.
The reference wheel speed deviation may be preset by a user, may be calculated by learning wheel speeds of wheels during operation of the vehicle, or may be obtained by other methods, and the reference wheel speed deviation is not described in any way.
The average wheel speed deviation is compared with the preset reference wheel speed deviation, when the tire pressure abnormality of the wheel is judged, the average wheel speed deviation and the reference wheel speed deviation can be compared to judge the tire pressure abnormality, the judgment can also be carried out according to the ratio of the average wheel speed deviation to the reference wheel speed deviation, the judgment can also be carried out through other modes, and the one-to-one description is not carried out.
Optionally, the number of the linear track segments may be multiple, and the average wheel speed deviations of the wheel in the multiple linear track segments are calculated respectively, so that the average wheel speed deviations are compared with a preset reference wheel speed deviation respectively, and whether the tire pressure of the wheel is abnormal is determined.
When the number of the linear track segments is multiple, and whether the tire pressure of the wheel is abnormal is judged by comparing the average wheel speed deviations with the preset reference wheel speed deviation, the differences between the preset reference wheel speed deviations of the average wheel speed deviations can be respectively calculated, and then whether the tire pressure of the wheel is abnormal is judged according to the differences; or judging whether the tire pressure of the wheel is abnormal or not according to the time sequence of the straight track segments corresponding to the differences; the tire pressure abnormality may also be detected in other manners, which are not described one by one here.
By the method, when the tire pressure of the vehicle is detected, the running track of the vehicle in the running process is obtained, the running track of the vehicle is segmented, the linear track segment is selected, the average wheel speed deviation of the wheel in the linear track segment is calculated according to the wheel speed indicated by the linear track segment, and whether the tire pressure of the wheel is abnormal or not is judged by comparing the average wheel speed deviation with the pre-calculated standard wheel speed deviation, so that the vehicle does not need to run according to the specified requirement, whether the tire pressure is abnormal or not can be accurately judged only in the running process of the vehicle in any mode, and the convenience and the efficiency of the tire pressure detection during the running of the vehicle are greatly improved.
Fig. 3 is a detailed description of step S120 in the tire air pressure detecting method according to the corresponding embodiment of fig. 2, and step S120 in the tire air pressure detecting method may further include the following steps, as shown in fig. 3.
In step S121, the running direction at each time point during the running of the vehicle is acquired.
The OBD is internally provided with a GPS (Global Positioning System), and the running direction of each time point in the running process of the vehicle can be directly obtained from the OBD; the running direction of each time point in the running process of the vehicle can be obtained according to the steering angle of the steering wheel; in addition, the running direction of each time point in the running process of the vehicle can be obtained in other manners, which is not described in detail herein.
In step S122, the trajectory of the vehicle is segmented according to the travel direction at each time point, and a trajectory segment is obtained.
It should be noted that, generally, the running direction of the vehicle during running is acquired according to a certain acquisition frequency.
Therefore, the running track of the vehicle is segmented according to the running directions of all the time points, the running track of the vehicle is segmented into a plurality of track segments, and the running directions of the vehicle tend to be consistent in the same track segment, so that the calculation of the average wheel speed deviation is more convenient.
In step S123, a straight track segment is selected from the track segments.
When the vehicle runs on a curve, even if parameters of 4 wheels are completely consistent, the respective wheel speeds are different, the wheel speed of one wheel is slow, otherwise, the vehicle cannot turn, and therefore tire pressure detection on the wheels is seriously influenced.
In the linear track segment, the running directions of all wheels in the vehicle are consistent, so that the influence caused by environmental factors is reduced, and the accuracy of tire pressure detection on the wheels is improved.
And selecting a linear track segment of which the running direction keeps a straight line in the track segment according to the running direction of each time in the track segment.
In an exemplary embodiment, according to a GPS (Global Positioning System) in the track segment and further according to a direction of the GPS at each time point, angle differences between the GPS direction at each time point and GPS directions at all previous time points are compared from an initial time point, and when all angle differences are within 5 degrees, it is considered that the vehicle is traveling straight in a time period from the initial time point to the current time point.
Optionally, when the wheel speed is small, the influence of the environmental factors of each wheel on the wheel speed is larger, so that the influence of the environmental factors of each wheel on the tire pressure detection is further reduced by removing track segments of which the wheel speed does not reach a preset wheel speed threshold; when the running time is short, various accidental factors occur to influence the tire pressure detection. Therefore, in order to further improve the accuracy of tire pressure detection on the wheel, the linear track segments with the wheel speed reaching the wheel speed threshold and the running time reaching the time threshold are selected from the track segments through the preset wheel speed threshold and time threshold.
By the method, when the tire pressure of the vehicle is detected, only the straight track segment is selected from the running track of the vehicle according to the running direction of each time point in the process that the vehicle runs in any mode, so that the tire pressure abnormity is detected, the requirement on the running of the vehicle when the tire pressure abnormity is detected is greatly reduced, and the convenience and the efficiency of the tire pressure detection when the vehicle runs are greatly improved.
Fig. 4 is another tire air pressure detecting method according to the corresponding embodiment of fig. 2, and as shown in fig. 4, the tire air pressure detecting method may further include the following steps after step S120 in the corresponding embodiment of fig. 2.
In step S210, a left-right wheel speed deviation between the left wheel speed and the right wheel speed is calculated from the wheel speeds indicated by the straight-line trajectory segments.
Generally, the specifications of the front left wheel and the front right wheel are completely consistent, and the specifications of the rear left wheel and the rear right wheel are also completely consistent for the same vehicle.
Therefore, by calculating the left and right wheel speed deviation between the left wheel speed and the right wheel speed, when the left and right wheel speed deviation is large, the tire pressure abnormality of the wheel between the left wheel and the right wheel is indicated; when the deviation of the left wheel speed and the right wheel speed is small, the tire pressure of the left wheel and the tire pressure of the right wheel are preliminarily judged to be normal.
When the left and right wheel speed deviation between the left wheel speed and the right wheel speed is calculated, the left and right front wheel speed deviation between the left front wheel speed and the right front wheel speed and the left and right rear wheel speed deviation between the left rear wheel speed and the right rear wheel speed can be respectively calculated, and then the left and right front wheel speed deviation and the left and right rear wheel speed deviation are respectively compared with a left and right wheel speed deviation threshold value to judge whether the tire pressure abnormality exists in the wheel.
In step S220, when the left and right wheel speed deviation reaches the left and right wheel speed deviation threshold, it is determined that a tire pressure abnormality exists at least one of the left wheel speed and the right wheel speed.
By the method, when the tire pressure of the vehicle is detected, when the left wheel speed and the right wheel speed have large left wheel speed deviation and right wheel speed deviation, the tire pressure abnormality of the vehicle can be preliminarily judged, and the flexibility of tire pressure detection of the vehicle is improved.
Fig. 5 is another tire air pressure detecting method shown in the corresponding embodiment of fig. 2, and as shown in fig. 5, the tire air pressure detecting method may further include the following steps before step S140 in the corresponding embodiment of fig. 2.
In step S310, a plurality of straight-line trajectory segments are selected from the trajectory of the vehicle.
This step is similar to step S120 in the previous embodiment, and is not repeated here.
In step S320, when a left-right wheel speed deviation between the left wheel speed and the right wheel speed in the plurality of straight line trajectory segments does not reach a left-right wheel speed deviation threshold, an average wheel speed deviation of the wheel in the plurality of straight line trajectory segments is calculated and determined as a reference wheel speed deviation.
As described above, when the left and right wheel speed deviation between the left wheel speed and the right wheel speed does not reach the left and right wheel speed deviation threshold value, i.e. the left and right wheel speed deviation is small, the tire pressure of the left wheel and the right wheel is preliminarily determined to be normal.
And when the left and right wheel speed deviations in the plurality of straight track segments are smaller, the tire pressures of the left wheel and the right wheel can be determined to be normal. Therefore, the average wheel speed deviation of the wheel in a plurality of straight track segments is calculated and used as the reference wheel speed deviation, and the average wheel speed deviation of the wheel in each straight track segment is compared with the reference wheel speed deviation in the subsequent tire pressure detection, so that the tire pressure detection of the wheel is carried out.
In an exemplary embodiment, the reference wheel speed deviation is obtained as follows.
speedLead_LF[speedLead_pos]＝(av_speedLB+av_speedRB)/2-av_speedLF；
speedLead_RF[speedLead_pos]＝(av_speedLB+av_speedRB)/2-av_speedRF；
speedLead_LB[speedLead_pos]＝(av_speedLF+av_speedRF)/2-av_speedLB；
speedLead_RB[speedLead_pos]＝(av_speedLF+av_speedRF)/2-av_speedRB；
Wherein, av _ speedLF, av _ speedRF, av _ speedLB, av _ speedRB are the average wheel speeds of the left front wheel, the right front wheel, the left rear wheel, and the right rear wheel respectively; and the speedLead _ LF [ speedLead _ pos ], speedLead _ RF [ speedLead _ pos ], speedLead _ LB [ speedLead _ pos ], speedLead _ RB [ speedLead _ pos ] are wheel speed deviations of the left front wheel, the right front wheel, the left rear wheel and the right rear wheel at each straight track segment, respectively, and the speedLead _ pos is an array index.
And averaging the wheel speed deviations of each linear track segment, calculating an average wheel speed deviation, and determining the reference wheel speed deviation of each wheel.
av_speedLead_LF＝(speedLead_LF[0]+speedLead_LF[1]+speedLead_LF[2]+speedLead_LF[3]+speedLead_LF[4])/5；
av_speedLead_RF＝(speedLead_RF[0]+speedLead_RF[1]+speedLead_RF[2]+speedLead_RF[3]+speedLead_RF[4])/5；
av_speedLead_LB＝(speedLead_LB[0]+speedLead_LB[1]+speedLead_LB[2]+speedLead_LB[3]+speedLead_LB[4])/5；
av_speedLead_RB＝(speedLead_RB[0]+speedLead_RB[1]+speedLead_RB[2]+speedLead_RB[3]+speedLead_RB[4])/5；
av _ speedLead _ LF, av _ speedLead _ RF, av _ speedLead _ LB, av _ speedLead _ RB are reference wheel speed deviations of the left front wheel, the right front wheel, the left rear wheel, and the right rear wheel, respectively.
By using the method, when the left and right wheel speed deviations between the left wheel speed and the right wheel speed of the plurality of linear track segments do not reach the left and right wheel speed deviation threshold value, the average wheel speed deviation of the wheel in the plurality of linear track segments is determined as the reference wheel speed deviation, and then the reference wheel speed deviation is taken as the reference in the subsequent tire pressure detection, so that the accuracy of tire pressure detection on the vehicle is ensured.
Fig. 6 is a detailed description of step S130 in the tire air pressure detecting method according to the corresponding embodiment of fig. 2, and step S130 in the tire air pressure detecting method may further include the following steps, as shown in fig. 6.
In step S131, two wheels corresponding to the wheels are determined, and a wheel speed average of the two wheels at the straight track segment is calculated.
In an exemplary embodiment, the front wheels in the vehicle correspond to the rear wheels.
Therefore, for the left front wheel or the right front wheel, the two wheels corresponding to the left front wheel or the right front wheel are the left rear wheel and the right rear wheel; and for the left rear wheel or the right rear wheel, the two wheels corresponding to the left rear wheel or the right rear wheel are a left front wheel and a right front wheel.
In step S132, an average wheel speed deviation of the wheel on the straight track segment is calculated according to the wheel speed indicated by the wheel on the straight track segment and the wheel speed average.
For example, when calculating the average wheel speed deviation of the left front wheel in the straight trajectory segment P1:
speedLead_LF[P1]＝(av_speedLB[P1]+av_speedRB[P1])/2-av_speedLF[P1]。
where av _ speedLB [ P1] is the average wheel speed of the left rear wheel in the straight track segment P1, av _ speedRB [ P1] is the average wheel speed of the right rear wheel in the straight track segment P1, and av _ speedLF [ P1] is the average wheel speed of the left front wheel in the straight track segment P1.
By using the method, the wheel speed mean value of the wheel speed mean values of the two wheels corresponding to the wheels in the straight track segment is calculated, so that the average wheel speed deviation of the wheels in the straight track segment is calculated, and the average wheel speed deviation is associated with the wheel speeds of other wheels in the straight track segment, thereby ensuring the accuracy of tire pressure detection on each wheel.
Fig. 7 is a detailed description of step S140 in the air pressure detecting method according to the corresponding embodiment of fig. 2, and step S140 in the air pressure detecting method may further include the following steps, as shown in fig. 7.
In step S141, a difference between the average wheel speed deviation and the reference wheel speed deviation is calculated.
The following is an exemplary embodiment of differences min _ LF, min _ RF, min _ LB, min _ RB between the respective average wheel speed deviations of the left front wheel, the right front wheel, the left rear wheel, and the right rear wheel and the reference wheel speed deviation.
min_LF＝((av_speedLB+av_speedRB)/2-av_speedLF-av_speedLead_LF)；
min_RF＝((av_speedLB+av_speedRB)/2-av_speedRF-av_speedLead_RF)；
min_LB＝((av_speedLF+av_speedRF)/2-av_speedLB-av_speedLead_LB)；
min_RB＝((av_speedLF+av_speedRF)/2-av_speedRB-av_speedLead_RB)；
The left front wheel, the right front wheel, the left rear wheel and the right rear wheel can be provided with respective reference wheel speed deviations av _ speedLead _ LF, av _ speedLead _ RF, av _ speedLead _ LB and av _ speedLead _ RB.
In step S142, when the difference reaches the deviation threshold, it is determined that the tire pressure abnormality exists in the wheel.
The deviation threshold is a preset deviation difference critical value.
When actually carrying out tire pressure detection, the user can finely adjust the deviation threshold value according to the tire pressure detection experience, and the deviation threshold value is more suitable for different tire pressure detection scenes.
When the difference value between the average wheel speed deviation and the reference wheel speed deviation reaches a deviation threshold value, determining that the tire pressure of the wheel is abnormal; and when the difference value between the average wheel speed deviation and the reference wheel speed deviation does not reach the deviation threshold value, determining that the tire pressure of the wheel is normal.
Optionally, when the number of the straight track segments is multiple, and the difference values between the average wheel speed deviation reference wheel speed deviations of the multiple straight track segments all reach the deviation threshold value, it is determined that the tire pressure abnormality exists in the wheel.
With the method as described above, when the difference between the average wheel speed deviation of the wheel in the straight track segment and the reference wheel speed deviation reaches the deviation threshold, it is determined that the tire pressure abnormality exists in the wheel, thereby simply achieving the detection of the tire pressure abnormality.
The following are embodiments of the apparatus of the present invention that may be used to perform the above-described embodiments of the tire pressure detecting method of the present invention. For details that are not disclosed in the embodiments of the device of the present invention, refer to the embodiments of the tire pressure detecting method of the present invention.
Fig. 8 is a block diagram illustrating a tire air pressure detecting device that may be used in a terminal (e.g., an OBD networking box) having an OBD (On-Board Diagnostic) installed On a vehicle, according to an exemplary embodiment, including but not limited to: the device comprises a running track acquisition module 110, a linear track segment selection module 120, an average wheel speed deviation calculation module 130 and a tire pressure abnormality judgment module 140.
A running track obtaining module 110, configured to obtain a running track of a vehicle in a running process;
a linear track segment selection module 120, configured to segment the running track of the vehicle and select a linear track segment;
an average wheel speed deviation calculation module 130, configured to calculate an average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the straight track segment;
and the tire pressure abnormity judging module 140 is used for comparing the average wheel speed deviation with a preset reference wheel speed deviation to judge whether the tire pressure abnormity exists in the wheel.
The implementation processes of the functions and actions of the modules in the device are specifically described in the implementation processes of the corresponding steps in the tire pressure detection method, and are not described herein again.
Optionally, as shown in fig. 9, the straight track segment extracting module 120 further includes, but is not limited to: a running direction acquiring unit 121, a segment dividing unit 122, and a segment selecting unit 123.
A running direction acquiring unit 121 configured to acquire a running direction at each time point in a running process of the vehicle;
a segment dividing unit 122, configured to segment the moving track of the vehicle according to the moving direction at each time point to obtain track segments;
a segment selecting unit 123, configured to select a linear track segment from the track segments.
Optionally, the segment selecting unit 123 is specifically configured to screen the trajectory segments according to the wheel speed and the running time indicated by each trajectory segment to obtain linear trajectory segments.
Alternatively, fig. 10 is a block diagram of another tire air pressure detecting device according to the corresponding embodiment shown in fig. 8, and as shown in fig. 10, the tire air pressure detecting device further includes but is not limited to: a left and right wheel speed deviation calculation module 210 and a tire pressure anomaly determination module 220.
A left and right wheel speed deviation calculation module 210, configured to calculate a left and right wheel speed deviation between a left wheel speed and a right wheel speed according to the wheel speed indicated by the linear track segment;
the tire pressure abnormality determining module 220 is configured to determine that a tire pressure abnormality exists at least one of the left wheel speed and the right wheel speed when the left and right wheel speed deviation reaches a left and right wheel speed deviation threshold.
Alternatively, fig. 11 is a block diagram of another tire air pressure detecting device shown according to any one of the corresponding embodiments of fig. 8 to 10, as shown in fig. 11, the tire air pressure detecting device further includes, but is not limited to: a multi-segment selection module 310 and a reference wheel speed deviation determination module 320.
A multi-segment selecting module 310, configured to select a plurality of linear trajectory segments from a running trajectory of a vehicle;
a reference wheel speed deviation determination module 320 for calculating an average wheel speed deviation of the wheel in the plurality of straight line track segments and determining as the reference wheel speed deviation when a left-right wheel speed deviation between the left wheel speed and the right wheel speed in the plurality of straight line track segments does not reach a left-right wheel speed deviation threshold.
Optionally, as shown in fig. 12, the average wheel speed deviation calculation module 130 further includes, but is not limited to: a wheel speed average calculation unit 131 and an average wheel speed deviation calculation unit 132.
A wheel speed mean value calculating unit 131, configured to determine two wheels corresponding to the wheels, calculate a wheel speed mean value of the two wheels in a straight track segment, where a front wheel corresponds to a rear wheel in the vehicle;
the average wheel speed deviation calculating unit 132 is configured to calculate an average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the wheel on the straight track segment and the wheel speed average.
Optionally, as shown in fig. 13, the tire pressure abnormality determining module 140 further includes, but is not limited to: a difference value calculation unit 141 and an air pressure abnormality determination unit 142.
A difference value calculating unit 141 for calculating a difference value between the average wheel speed deviation and the reference wheel speed deviation;
and an abnormal tire pressure determining unit 142, configured to determine that an abnormal tire pressure exists in the wheel when the difference reaches the deviation threshold.
Fig. 14 is a block diagram illustrating a terminal 100 according to an example embodiment. Alternatively, the terminal 100 may be an OBD car networking box or the like.
Referring to fig. 14, the terminal 100 may include one or more of the following components: a processing component 101, a memory 102, a power component 103, a multimedia component 104, an audio component 105, a sensor component 107 and a communication component 108. The above components are not all necessary, and the terminal 100 may add other components or reduce some components according to its own functional requirements, which is not limited in this embodiment.
The processing component 101 generally controls overall operations of the terminal 100, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 101 may include one or more processors 109 to execute instructions to perform all or a portion of the above-described operations. Further, the processing component 101 may include one or more modules that facilitate interaction between the processing component 101 and other components. For example, the processing component 101 may include a multimedia module to facilitate interaction between the multimedia component 104 and the processing component 101.
The memory 102 is configured to store various types of data to support operations at the terminal 100. Examples of such data include instructions for any application or method operating on terminal 100. The Memory 102 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as an SRAM (Static Random Access Memory), an EEPROM (Electrically Erasable Programmable Read-Only Memory), an EPROM (Erasable Programmable Read-Only Memory), a PROM (Programmable Read-Only Memory), a ROM (Read-Only Memory), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk. Also stored in memory 102 are one or more modules configured to be executed by the one or more processors 109 to perform all or a portion of the steps of any of the illustrated methods in the exemplary embodiments described above.
The power supply component 103 provides power to the various components of the terminal 100. The power components 103 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the terminal 100.
The multimedia component 104 includes a screen providing an output interface between the terminal 100 and the user. In some embodiments, the screen may include an LCD (Liquid Crystal Display) and a TP (Touch Panel). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
The audio component 105 is configured to output and/or input audio signals. For example, the audio component 105 includes a microphone configured to receive external audio signals when the terminal 100 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 102 or transmitted via the communication component 108. In some embodiments, audio component 105 also includes a speaker for outputting audio signals.
The sensor assembly 107 includes one or more sensors for providing various aspects of state assessment for the terminal 100. For example, the sensor assembly 107 can detect an open/close state of the terminal 100, a relative positioning of the components, a change in coordinates of the terminal 100 or a component of the terminal 100, and a change in temperature of the terminal 100. In some embodiments, the sensor assembly 107 may also include a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 108 is configured to facilitate communications between the terminal 100 and other devices in a wired or wireless manner. The terminal 100 may access a Wireless network based on a communication standard, such as WiFi (Wireless-Fidelity), 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 108 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the Communication component 108 further includes a Near Field Communication (NFC) module to facilitate short-range Communication. For example, the NFC module may be implemented based on an RFID (Radio Frequency Identification) technology, an IrDA (Infrared Data Association) technology, an UWB (Ultra-Wideband) technology, a BT (Bluetooth) technology, and other technologies.
In an exemplary embodiment, the terminal 100 may be implemented by one or more ASICs (Application Specific Integrated circuits), DSPs (Digital Signal processors), PLDs (Programmable Logic devices), FPGAs (Field-Programmable Gate arrays), controllers, microcontrollers, microprocessors or other electronic components for performing the above-described methods.
Wherein the processor in the terminal of this embodiment is configured to perform:
acquiring a running track in the running process of a vehicle;
segmenting the running track of the vehicle, and selecting a straight track segment;
calculating the average wheel speed deviation of the wheel in the straight track segment according to the wheel speed indicated by the straight track segment;
and comparing the average wheel speed deviation with a preset reference wheel speed deviation to judge whether the tire pressure of the wheel is abnormal.
The specific manner in which the processor in the terminal in this embodiment performs the operation has been described in detail in the embodiment related to the tire air pressure detecting method, and will not be elaborated upon here.
Alternatively, the present invention also provides a terminal that performs all or part of the steps of the tire pressure detecting method according to any of the above exemplary embodiments. The terminal includes:
a processor; and
a memory communicatively coupled to the processor; wherein,
the memory stores readable instructions which, when executed by the processor, implement the method of any of the above exemplary embodiments.
The specific manner in which the processor in the terminal in this embodiment performs the operation has been described in detail in the embodiment related to the tire air pressure detecting method, and will not be explained in detail here.
In an exemplary embodiment, a storage medium is also provided that is a computer-readable storage medium, such as may be temporary and non-temporary computer-readable storage media, including instructions. The storage medium includes, for example, the memory 102 of instructions executable by the processor 109 of the terminal 100 to perform the tire pressure detection method described above.
It is to be understood that the invention is not limited to the precise arrangements described above and shown in the drawings, and that various modifications and changes may be effected therein by one skilled in the art without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (12)
1. A tire pressure detecting method, characterized in that the method comprises:
acquiring a running track in the running process of a vehicle;
segmenting the running track of the vehicle, and selecting a straight track segment;
calculating an average wheel speed deviation of the wheels in the straight track segments according to the wheel speeds indicated by the straight track segments, wherein the average wheel speed deviation is a deviation between the wheel speed of one wheel and the wheel speeds of other wheels in the straight track segments;
comparing the average wheel speed deviation with a preset reference wheel speed deviation to judge whether the tire pressure of the wheel is abnormal or not;
wherein the step of calculating an average wheel speed deviation of the wheel on the straight track segment based on the wheel speeds indicated by the straight track segments comprises:
determining two wheels corresponding to the wheels, and calculating the wheel speed mean value of the two wheels on the straight track segment, wherein the front wheels and the rear wheels in the vehicle correspond to each other;
and calculating the average wheel speed deviation of the wheel in the straight track segment according to the wheel speed indicated by the wheel in the straight track segment and the wheel speed average value.
2. The method of claim 1, wherein the step of segmenting the trajectory of the vehicle and selecting the straight trajectory segment comprises:
acquiring the running direction of each time point in the running process of the vehicle;
segmenting the running track of the vehicle according to the running direction of each time point to obtain track segments;
and selecting a straight track segment from the track segments.
3. The method of claim 1, wherein after the step of segmenting the trajectory of the vehicle and selecting the straight trajectory segment, the method further comprises:
calculating left and right wheel speed deviation between the left wheel speed and the right wheel speed according to the wheel speeds indicated by the straight line track segments;
and when the left and right wheel speed deviation reaches a left and right wheel speed deviation threshold value, determining that at least one of the left wheel speed and the right wheel speed has abnormal tire pressure.
4. The method according to any one of claims 1 to 3, wherein before the step of determining whether the tire pressure abnormality exists in the wheel by comparing the average wheel speed deviation with a preset reference wheel speed deviation, the method further comprises:
selecting a plurality of straight track segments from the running track of the vehicle;
when a left-right wheel speed deviation between a left wheel speed and a right wheel speed in the plurality of linear track segments does not reach a left-right wheel speed deviation threshold value, calculating an average wheel speed deviation of the wheel in the plurality of linear track segments, and determining as the reference wheel speed deviation.
5. The method of claim 1, wherein the step of determining whether the tire pressure abnormality of the wheel exists by comparing the average wheel speed deviation with a preset reference wheel speed deviation comprises:
calculating a difference between the average wheel speed deviation and a reference wheel speed deviation;
and when the difference value reaches a deviation threshold value, determining that the tire pressure abnormality exists in the wheel.
6. A tire pressure detecting device, characterized in that the device comprises:
the running track acquisition module is used for acquiring a running track in the running process of the vehicle;
the linear track segment selection module is used for segmenting the running track of the vehicle and selecting linear track segments;
the average wheel speed deviation calculation module is used for calculating the average wheel speed deviation of the wheels in the straight line track segments according to the wheel speeds indicated by the straight line track segments, and the average wheel speed deviation is the deviation between the wheel speed of one wheel and the wheel speeds of other wheels in the straight line track segments;
the tire pressure abnormity judging module is used for judging whether the tire pressure abnormity exists in the wheel by comparing the average wheel speed deviation with a preset reference wheel speed deviation;
wherein the average wheel speed deviation calculation module comprises:
the wheel speed mean value calculating unit is used for determining two wheels corresponding to the wheels, calculating the wheel speed mean value of the two wheels on the straight track segment, wherein the front wheels and the rear wheels in the vehicle correspond to each other;
and the average wheel speed deviation calculating unit is used for calculating the average wheel speed deviation of the wheel on the straight track segment according to the wheel speed indicated by the wheel on the straight track segment and the wheel speed average value.
7. The apparatus of claim 6, wherein the straight track segment extracting module comprises:
the running direction acquiring unit is used for acquiring the running direction of each time point in the running process of the vehicle;
the segment segmentation unit is used for segmenting the running track of the vehicle according to the running direction of each time point to obtain track segments;
and the segment selection unit is used for selecting the linear track segment from the track segments.
8. The apparatus of claim 6, further comprising:
the left and right wheel speed deviation calculation module is used for calculating left and right wheel speed deviation between the left wheel speed and the right wheel speed according to the wheel speed indicated by the straight line track segment;
and the tire pressure abnormity determining module is used for determining that at least one of the left wheel speed and the right wheel speed has tire pressure abnormity when the left and right wheel speed deviation reaches a left and right wheel speed deviation threshold value.
9. The apparatus of any one of claims 6 to 8, further comprising:
the multi-segment selection module is used for selecting a plurality of straight track segments from the running track of the vehicle;
and a reference wheel speed deviation determining module, configured to calculate an average wheel speed deviation of the wheel in the plurality of linear track segments and determine the average wheel speed deviation as the reference wheel speed deviation when a left-right wheel speed deviation between a left wheel speed and a right wheel speed in the plurality of linear track segments does not reach a left-right wheel speed deviation threshold value.
10. The apparatus according to claim 6, wherein the tire pressure abnormality determination module includes:
a difference calculation unit for calculating a difference between the average wheel speed deviation and a reference wheel speed deviation;
and the tire pressure abnormity determining unit is used for determining that the tire pressure abnormity exists in the wheel when the difference value reaches a deviation threshold value.
11. A terminal, characterized in that the terminal comprises:
a processor; and
a memory communicatively coupled to the processor; wherein,
the memory stores readable instructions which, when executed by the processor, implement the method of any of claims 1-5.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed, carries out the method according to any one of claims 1-5.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810078758.5A CN108454327B (en) | 2018-01-26 | 2018-01-26 | Tire pressure detection method, device and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810078758.5A CN108454327B (en) | 2018-01-26 | 2018-01-26 | Tire pressure detection method, device and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108454327A CN108454327A (en) | 2018-08-28 |
| CN108454327B true CN108454327B (en) | 2020-11-20 |
Family
ID=63239074
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810078758.5A Active CN108454327B (en) | 2018-01-26 | 2018-01-26 | Tire pressure detection method, device and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108454327B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110395078A (en) * | 2019-07-17 | 2019-11-01 | 深圳市元征科技股份有限公司 | Tire pressure repositioning method and relevant device |
| CN113536061A (en) * | 2021-06-23 | 2021-10-22 | 深圳市元征未来汽车技术有限公司 | Vehicle abnormality detection method, device, electronic device, and storage medium |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6420966B2 (en) * | 2000-06-21 | 2002-07-16 | Sumitomo Rubber Industries, Ltd. | Method for alarming decrease in tire air-pressure and apparatus used therefor |
| JP4707496B2 (en) * | 2005-08-09 | 2011-06-22 | 住友ゴム工業株式会社 | Tire pressure drop detection method using GPS speed information |
| JP5383746B2 (en) * | 2011-06-03 | 2014-01-08 | 住友ゴム工業株式会社 | Tire pressure drop detection device, method and program |
| CN104924864B (en) * | 2015-05-18 | 2017-09-29 | 北京新能源汽车股份有限公司 | Tire pressure monitoring method for pure electric vehicle |
| CN104999865B (en) * | 2015-07-13 | 2018-02-09 | 杭州联云汽车科技有限公司 | A kind of indirect type tire pressure monitoring method based on OBD interfaces |
| CN105818618B (en) * | 2016-03-24 | 2019-02-15 | 邹红斌 | Tire pressure detection method and device |
-
2018
- 2018-01-26 CN CN201810078758.5A patent/CN108454327B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108454327A (en) | 2018-08-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20180268532A1 (en) | Methods and systems for vehicle tire analysis using vehicle mounted cameras | |
| CN110834642B (en) | Vehicle deviation identification method and device, vehicle and storage medium | |
| CN108454327B (en) | Tire pressure detection method, device and terminal | |
| CN110069976A (en) | For determining the method and system of view-based access control model existing for trailer | |
| CN107526431B (en) | Apparatus and method for predicting target of visual attention | |
| CN104865579A (en) | Vehicle-installed Obstacle Detection Apparatus Having Function For Judging Motion Condition Of Detected Object | |
| CN110765807A (en) | Driving behavior analysis method, driving behavior processing method, driving behavior analysis device, driving behavior processing device and storage medium | |
| GB2564204A (en) | Road water detection | |
| US12026984B2 (en) | Tire damage detection system and method | |
| US20220199107A1 (en) | Sound source estimation system and sound source estimation method | |
| US20100145618A1 (en) | Vehicle collision management systems and methods | |
| CN114463985A (en) | Driving assistance method, device, equipment and storage medium | |
| US10726641B2 (en) | Methods and apparatus for external vehicle illumination management | |
| JP7057449B2 (en) | Tire damage detection system and method | |
| KR101557283B1 (en) | Apparatus and method for detecting the faking of meter in vehicle | |
| KR20160063906A (en) | Method for analysis state of vehicle, apparatus for collecting vehicle information and smart device | |
| KR102303230B1 (en) | Apparatus and method for estimating radius of curvature in vehicle | |
| CN117392855A (en) | Vehicle overrun overload probability identification method and system based on satellite positioning data | |
| US11505016B2 (en) | Tire damage detection system and method | |
| US20200158850A1 (en) | Apparatus and method for learning scale factor of vehicle speed sensor | |
| US9621952B2 (en) | Video display monitoring methods and systems | |
| CN111824170B (en) | Method, system, device and electronic equipment for obtaining vehicle performance information | |
| US12036994B2 (en) | Operational design domain detection for advanced driver assistance systems | |
| CN110660217B (en) | Method and device for detecting information security | |
| CN113561893A (en) | Vehicle tire monitoring device and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |