CN112406871A - Intelligent driving system and method - Google Patents
Intelligent driving system and method Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
- B60W30/182—Selecting between different operative modes, e.g. comfort and performance modes
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/06—Road conditions
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/005—Handover processes
- B60W60/0051—Handover processes from occupants to vehicle
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Abstract
The embodiment of the application discloses an intelligent driving system and method, which are used for effectively reducing the damage to a driver and an automobile caused by road safety accidents. The intelligent driving system in this application includes: the data processing module is respectively and electrically connected with the road information acquisition module, the behavior detection module, the driving mode module and the road planning module; the data processing module is used for processing the data information transmitted by the road information acquisition module and the behavior detection module and uploading the processed data information to the cloud server, and the cloud server analyzes the received data information and feeds corresponding instruction information back to the data processing module; the road planning module is used for planning the driving road of the vehicle after receiving the road planning information sent by the data processing module; the driving module switching module is used for switching the artificial driving mode into the automatic driving mode after receiving the mode switching information sent by the data processing module.
Description
Technical Field
The embodiment of the application relates to the technical field of data processing, in particular to an intelligent driving system and method.
Background
In recent years, due to the continuous development of industrial technologies, the automobile industry is rapidly developed, so that the holding capacity of automobiles is on the trend of rapid increase, more serious challenges are brought to the management of road traffic, road congestion, traffic safety and pollution caused by exhaust emission of automobiles become important concerns of people, and automobiles bring convenience to the traveling of people and also bring bad aspects to the life of people, wherein the automobile road traffic safety is one of the most concerned and most concerned problems of people.
The analysis data shows that the traditional manual driving method has many disadvantages, for example, the traditional manual driving method has the problems of manual misoperation, manual misjudgment, distraction in the driving process, manual fatigue driving and the like, and the problems can be caused more or less in the manual driving process, and when the problems are caused, traffic safety accidents are easy to happen, and certain damage is caused to the driver and the automobile.
Disclosure of Invention
The embodiment of the application provides an intelligent driving system and method, which are used for effectively reducing the damage to a driver and an automobile caused by road safety accidents.
The present application provides in a first aspect an intelligent driving system, comprising: the system comprises a data processing module, a road information acquisition module, a behavior detection module, a road planning module and a driving mode switching module;
the data processing module is electrically connected with the road information acquisition module, the behavior detection module, the driving mode module and the road planning module respectively;
the road information acquisition module is used for extracting and collecting the condition information of surrounding roads in the driving process of the automobile in real time and sending the collected road condition information to the data processing module;
the behavior detection module is used for detecting and recording driving operation behavior information of a driver and sending the driving operation behavior information to the data processing module;
the data processing module is used for processing the data information transmitted by the road information acquisition module and the behavior detection module and uploading the processed data information to a cloud server, and the cloud server analyzes the received data information and feeds corresponding instruction information back to the data processing module;
the road planning module is used for planning the driving road of the vehicle after receiving the road planning information sent by the data processing module;
and the driving module switching module is used for switching the artificial driving mode into the automatic driving mode after receiving the mode switching information sent by the data processing module.
Optionally, the intelligent driving system further includes: a vehicle positioning module;
the vehicle positioning module is electrically connected with the data processing module and comprises a high-precision radar and a GPS navigation device;
the vehicle positioning module is used for acquiring the position information of the vehicle in real time and sending the position information of the vehicle to the data processing module, and the road planning information comprises the position information of the vehicle.
Optionally, the intelligent driving system further includes: a vehicle prompt alarm module;
the vehicle prompting and alarming module is electrically connected with the data processing module and the behavior detection module respectively;
the vehicle prompting and alarming module is used for sending out a prompting alarm when target information sent by the behavior detection module is received, wherein the target information is information that the driving behavior of a driver is inconsistent.
Optionally, the data processing module includes: a vehicle emergency braking module;
the vehicle emergency braking module is electrically connected with the data processing module;
and the vehicle emergency braking module is used for carrying out emergency braking processing on the vehicle after receiving the emergency braking information sent by the data processing module.
Optionally, the intelligent driving system includes: a behavior distance detection module;
the behavior distance detection module is electrically connected with the data processing module, the vehicle prompt alarm module and the vehicle emergency braking module respectively;
the behavior distance detection module is used for detecting that when the distance between the vehicle and the front object is smaller than a preset distance, information is sent to the vehicle prompt alarm module, the vehicle prompt alarm module sends out prompt alarm, and after the prompt alarm is sent out, the behavior detection module detects that the driving behavior of the driver is not changed, and the vehicle emergency braking module carries out emergency braking processing on the vehicle.
Optionally, the data processing module includes: the information receiving submodule, the information sorting submodule and the information sending submodule are arranged;
the information sorting submodule is electrically connected with the information receiving submodule and the information sending submodule respectively;
the information receiving submodule is used for receiving information sent by the road information acquisition module, the behavior detection module, the road planning module, the vehicle positioning module, the vehicle emergency braking module and the behavior distance detection module;
the information sorting submodule is used for sorting the information received by the information receiving submodule;
the information sending submodule is used for correspondingly sending the information which is arranged by the information arranging submodule to each module.
Optionally, the road information collecting module includes: the information acquisition submodule and the data transmission submodule;
the information acquisition submodule and the data transmission submodule are respectively connected with a camera device;
the information acquisition submodule is used for sending the information image acquired by the camera device to the data transmission submodule; the data transmission submodule is used for transmitting the information image transmitted by the information acquisition submodule to the data processing module.
A second aspect of the present application provides an intelligent driving method, including:
acquiring position information of a vehicle;
acquiring first information according to the position information of the vehicle, wherein the first information is information of the condition of a target road in the driving process of the vehicle;
sending the first information to a cloud database, wherein the cloud database comprises a plurality of kinds of standard information, and the standard information is information of standard operation behaviors under different road conditions;
acquiring operation behavior information according to the cloud database, wherein the operation behavior information is standard operation behavior information under the condition of the target road;
acquiring second information, wherein the second information is driving operation behavior information of a driver on the target road;
judging whether the second information is consistent with the operation behavior information;
if not, the driving mode switching module automatically switches the manual operation mode into the intelligent driving mode.
Optionally, before the obtaining the position information of the vehicle, the method further includes:
binding label information of the vehicle, wherein the label information is unique identification information of the vehicle;
and uploading the label information to the cloud database.
Optionally, after determining whether the second information system is consistent with the operation behavior information, the method further includes:
if so, uploading the second information to an operation behavior evaluation system;
and sending the evaluation information fed back by the operation behavior evaluation system to the cloud database for storage.
A third aspect of the present application provides an intelligent driving apparatus, comprising: a controller, a first processor, and a second processor;
the controller is electrically connected with the first processor and the second processor respectively; the controller is internally provided with a data processing module, and the data processing module consists of a signal receiving sensor, a signal sending sensor and a first circuit board.
Optionally, a road information acquisition module and a behavior detection module are arranged inside the first processor; the road information acquisition module consists of a first image sensor, an information acquisition device and a second circuit board, and the behavior detection module consists of a second image sensor, an information uploader and a third circuit board.
Optionally, a road planning module and a driving mode switching module are arranged in the second processor; the road planning module consists of a data analyzer and a fourth circuit board, and the driving mode switching module consists of an information instruction identification sensor and a fifth circuit board.
According to the technical scheme, the embodiment of the application has the following advantages:
the road information acquisition module and the behavior detection module are respectively used for acquiring the condition information around the road and the operation behavior information of the driver, and sending the acquired condition information around the road and the operation behavior information of the driver to the data processing module, and the data processing module processes the acquired information and uploads the processed information to the cloud server; the road planning module and the driving module switching module are connected with the data processing module; according to the intelligent driving control system, the data processing module judges the running state of the vehicle according to the information collected by the road information collection module and the behavior detection module, the vehicle is controlled and processed according to the running state of the vehicle, when the running state of the vehicle is detected to change, the manual operation mode is automatically switched into the intelligent driving operation module, road safety accidents caused by manual operation can be effectively avoided, and damages to a driver and the vehicle are reduced.
Drawings
FIG. 1 is a schematic diagram of an intelligent driving system of the present application;
FIG. 2 is another schematic view of the intelligent driving system of the present application;
FIG. 3 is a schematic diagram of the intelligent driving method of the present application;
FIG. 4 is another schematic diagram of the intelligent driving method of the present application.
Detailed Description
The conventional manual driving method has many disadvantages, for example, the conventional manual driving method has problems of manual misoperation, manual misjudgment, distraction in the driving process, manual fatigue driving and the like, and the problems are more or less caused in the manual driving process, and when the problems are caused, traffic safety accidents are easy to occur, so that certain damage is caused to drivers and automobiles.
Based on the above, the application provides an intelligent driving system and method, which are used for effectively reducing the damage to a driver and an automobile caused by road safety accidents.
The technical solutions in the present application will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1 to 2, a first aspect of the present application provides an intelligent driving system, including: the system comprises a data processing module 5, a road information acquisition module 4, a behavior detection module 1, a road planning module 3 and a driving mode switching module 2; the data processing module 5 is electrically connected with the road information acquisition module 4, the behavior detection module 1, the driving mode module and the road planning module 3 respectively; the road information acquisition module 4 is used for extracting and collecting the condition information of surrounding roads in the driving process of the automobile in real time and sending the collected road condition information to the data processing module 5; the behavior detection module 1 is used for detecting and recording driving operation behavior information of a driver and sending the driving operation behavior information to the data processing module 5; the data processing module 5 is configured to process data information transmitted by the road information acquisition module 4 and the behavior detection module 1, and upload the processed data information to a cloud server, and the cloud server analyzes the received data information and feeds back corresponding instruction information to the data processing module 5; the road planning module 3 is configured to plan a driving road of a vehicle after receiving the road planning information sent by the data processing module 5; the driving module switching module is used for switching the artificial driving mode into the automatic driving mode after receiving the mode switching information sent by the data processing module 5.
In the embodiment of the present application, the road information collecting module 4 is used for collecting the condition of the surrounding road of the vehicle during the driving process, for example: in the application, only part of functions of the road information acquisition module 4 are explained, and specific functions of the road information acquisition module 4 are not specifically limited, so that the road information acquisition module 4 acquires the conditions of the road in real time and sends the acquired road conditions to the data processing module 5;
the behavior detection module 1 is mainly used for detecting driving operation behavior data information of a vehicle driver, and the operation behavior information of the driver includes but is not limited to the following information: the action detection module 1 detects the action of a driver, records and uploads the operation behavior information of the driver to the data processing module 5, and the data processing module 5 uploads the operation behavior information of the driver sent by the action detection module 1 to the cloud server according to the information of the road detection module.
The cloud server stores a lot of operation behavior information, mainly standard operation behavior information corresponding to the road under different road conditions, performs data comparison detection after receiving the road condition information sent by the road detection module and the operation behavior information of the driver sent by the behavior detection module 1, finds the corresponding operation behavior information from the obtained road condition information, and performs comparison detection according to the found operation behavior information and the obtained driving operation behavior information of the driver; if the data processing module 5 receives that the operation behavior of the driver sent by the cloud server matches the found operation behavior information, the data processing module 5 sends an information instruction of road planning to the road planning module 3, and it should be noted that, for the information of road planning, a road more matching the operation behavior of the driver is recommended mainly according to the operation behavior information of the driver; if the data processing module 5 receives that the operation behavior of the driver sent by the cloud server does not match the found operation behavior information, the data processing module 5 sends instruction information for switching the driving mode to the driving mode switching module 2, and the driving mode switching module 2 automatically switches the manual driving mode to the automatic driving mode after receiving a corresponding instruction, wherein in the automatic driving mode, the driver does not play a role in the operation behavior of the vehicle; the method is used for ensuring that the driving operation behavior which is obtained by rigorous calculation on the basis of big data in the automatic driving mode is the driving operation behavior which best accords with the current road.
For example: when the data processing module 5 receives a 0-0.8V signal, it is determined that the received information is low level information, in the application, the signal voltage of the low level information is not specifically limited, wherein the low level information refers to information that the operation behavior of the driver sent by the cloud server does not conform to the found operation behavior information, the data processing module 5 sends the low level information to the driving mode switching module 2, and the driving mode switching module 2 further switches the manual driving mode into the automatic driving mode according to the low level information; when the data processing module 5 receives a 0.8V-2V signal, it is determined that the received information is high level information, in this application, the signal voltage of the high level information is not specifically limited, where the high level information refers to information that the operation behavior of the driver sent by the cloud server matches the found operation behavior information, the data processing module 5 sends the high level information to the road planning module 3, and the road planning module recommends a road that more matches the operation behavior of the driver mainly according to the operation behavior information of the driver.
Optionally, the intelligent driving system further includes: a vehicle positioning module 6; the vehicle positioning module 6 is electrically connected with the data processing module 5, and the vehicle positioning module 6 comprises a high-precision radar and a GPS navigation device; the vehicle positioning module 6 is configured to obtain position information of the vehicle in real time, and send the position information of the vehicle to the data processing module 5, where the road planning information includes the position information of the vehicle.
In this embodiment of the application, when the vehicle positioning module 6 is electrically connected to the data processing module 5, also with the road detection module electrically connected, the vehicle positioning module 6 can position the position of the vehicle in real time, and acquire the road condition around the vehicle according to the position information of the vehicle, in this application, the vehicle positioning module 6 includes a high-precision radar and a GPS navigation device, it should be noted that, the vehicle positioning module 6 further includes sub-modules such as data collection, data transmission, and data acquisition, and mainly sends the position of the vehicle to the data processing module 5 and the road detection module in real time, so as to conveniently acquire the position information of the vehicle and the road condition information around the vehicle.
Optionally, the intelligent driving system further includes: a vehicle prompt alarm module 7; the vehicle prompting and alarming module 7 is electrically connected with the data processing module 5 and the behavior detection module 1 respectively; the vehicle prompt alarm module 7 is used for sending out prompt alarm when target information sent by the behavior detection module 1 is received, wherein the target information is information that the driving behavior of the driver does not accord with.
In the application, the vehicle prompt alarm module 7 is mainly used for prompting that the operation behavior of the driver is in a dangerous situation, after the behavior detection module 1 sends the driving operation behavior information of the driver to the cloud database, when the driving operation behavior of the driver and the standard operation behavior are determined to be in the dangerous situation after the detection of the cloud database, the information of the dangerous operation behavior is sent to the data processing module 5, the data processing module 5 sends prompt instruction information to the vehicle prompt alarm module 7, and the prompt tone sent by the vehicle prompt alarm module 7 is used for prompting that the current operation behavior of the driver is in the dangerous situation and the current driving operation behavior needs to be changed.
Optionally, the data processing module 5 includes: a vehicle emergency braking module 8; the vehicle emergency braking module 8 is electrically connected with the data processing module 5; the vehicle emergency braking module 8 is configured to perform emergency braking processing on the vehicle after receiving the emergency braking information sent by the data processing module 5.
In the application, after the vehicle prompt alarm module 7 sends out a corresponding alarm prompt, the behavior detection module 1 detects whether the driving operation behavior of the driver changes, whether the change of the operation behavior of the driver changes the current operation state of the vehicle, the behavior detection module 1 sends the acquired operation behavior information of the driver to the cloud server, the cloud server determines that the driver does not make a corresponding change after receiving the alarm prompt, the information is fed back to the data processing module 5, the data processing module 5 sends the emergency braking instruction information to the vehicle emergency braking module 8, and the vehicle emergency braking module 8 controls the vehicle to perform emergency braking by controlling a device on the vehicle, so that the safety of the driver and the vehicle is protected.
Optionally, the intelligent driving system includes: a behavior distance detection module 9; the behavior distance detection module 9 is electrically connected with the data processing module 5, the vehicle prompt alarm module 7 and the vehicle emergency braking module 8 respectively; the behavior distance detection module 9 is used for detecting that when the distance between the vehicle and the front object is smaller than a preset distance, information is sent to the vehicle prompt alarm module 7, the vehicle prompt alarm module 7 sends out a prompt alarm, and after the prompt alarm is sent out, the behavior detection module 1 detects that the driving behavior of the driver is not changed, and the vehicle emergency braking module 8 carries out emergency braking processing on the vehicle.
In this application, action distance detection module 9 mainly used detects the vehicle and the distance of place ahead article under the running state, guarantee the security of vehicle in the in-process of traveling, action detection module 1 is connected with vehicle suggestion alarm module 7 and action detection module 1 respectively, when the vehicle is in the in-process of traveling, the distance of vehicle and place ahead article is less than when predetermineeing the distance, it can be 10 meters or 20 meters to predetermine the distance, in this application, not prescribing a limit to what predetermine the distance, action distance detection module 9 can be less than the information transmission who predetermines the distance and to suggestion alarm module and action detection module 1 in, be used for the suggestion driver to carry out the speed reduction processing.
In the present application, the data processing module 5 includes: an information receiving submodule 51, an information sorting submodule 52 and an information sending submodule 53; the information sorting submodule 52 is electrically connected with the information receiving submodule 51 and the information sending submodule 53 respectively; the information receiving submodule 51 is configured to receive information sent by the road information acquisition module 4, the behavior detection module 1, the road planning module 3, the vehicle positioning module 6, the vehicle emergency braking module 8, and the behavior distance detection module 9; the information sorting submodule 52 is configured to sort the information received by the information receiving submodule 51; the information sending submodule 53 is configured to correspondingly send the information sorted by the information sorting submodule 52 to each module.
In the present application, the road information collection module 4 includes: an information acquisition submodule 41 and a data transmission submodule 42; the information acquisition submodule 41 and the data transmission submodule 42 are respectively connected with the camera device; the information acquisition submodule 41 is configured to send the information image acquired by the camera device to the data transmission submodule 42; the data transmission sub-module 42 is used for transmitting the information image sent by the information acquisition sub-module 41 to the data processing module 5.
The method of the present application may be applied to a server, a terminal, or other devices with logic processing capability, and the present application is not limited thereto. For convenience of description, the following description will be given taking the execution body as an example.
Referring to fig. 3, a second aspect of the embodiments of the present application provides an embodiment of an intelligent driving method, including:
101. the terminal acquires the position information of the vehicle;
102. the terminal acquires first information according to the position information of the vehicle, wherein the first information is information of the condition of a target road in the driving process of the vehicle;
the terminal sends the position information of the vehicle to the data processing module after the position information of the vehicle is acquired, the data processing module sends the acquired position information of the vehicle to the road information acquisition module, and the road information acquisition module acquires the road condition of the vehicle in the process of going on.
103. The terminal sends the first information to a cloud database, the cloud database comprises a plurality of kinds of standard information, and the standard information is information of standard operation behaviors under different road conditions;
after acquiring and acquiring road condition information of a vehicle in the process of going on, a terminal sends the road condition information to a cloud database, and it needs to be explained that various standard information is stored in the cloud database, and the standard information is information of standard operation behaviors under different road conditions.
104. The terminal acquires operation behavior information according to the cloud database, wherein the operation behavior information is standard operation behavior information under the condition of the target road;
after the terminal uploads the road condition information of the vehicle to the cloud database, the cloud database acquires standard operation information on the road according to the road condition information, for example: in the process of descending a slope, the standard operation behavior is to step on a brake to reduce the descending speed of the vehicle, and in the process of ascending the slope, the standard operation behavior is to suspend and step on an accelerator to improve the power of the vehicle, and the like.
105. The terminal acquires second information, wherein the second information is driving operation behavior information of a driver on the target road;
the terminal acquires driving behavior information of a driver through a behavior detection module, wherein the driving behavior information comprises but is not limited to the following information: the single hand steering wheel, the double hand steering wheel, the left and right swing head observation rearview mirror and the head-down gear observation behavior.
106. The terminal judges whether the second information is consistent with the operation behavior information;
after the terminal acquires the driving operation behavior information of the driver on the road, the terminal compares the driving operation behavior information of the driver on the road with the operation behavior information stored in the cloud database, for example: when the vehicle is in the downhill process, the standard operation behavior is to step on the brake to reduce the descending speed of the vehicle; if the driving operation behavior information of the driver is that the vehicle is not stepped on to reduce the descending speed of the vehicle during the descending process, the terminal determines that the driving operation behavior information of the driver on the road does not accord with the operation behavior information stored in the cloud database, and then step 107 is executed.
107. And the terminal driving mode switching module automatically switches the manual operation mode into the intelligent driving mode.
When the terminal determines that the driving operation behavior information of the driver on the road does not accord with the operation behavior information stored in the cloud database, the driving mode of the vehicle is automatically switched from the manual driving mode to the intelligent driving mode, and the safety of the driver and the vehicle is ensured.
Referring to fig. 4, a second aspect of the embodiments of the present application provides another embodiment of an intelligent driving method, including:
201. the terminal binds the vehicle with label information, wherein the label information is the unique identification information of the vehicle;
the terminal is convenient for identifying the information of the vehicle, the vehicle is bound with the label information, and when the position of the vehicle is searched, the corresponding vehicle information is searched through the label information, so that the vehicle is conveniently searched.
202. The terminal uploads the label information to the cloud database;
the terminal uploads the acquired label information to the cloud database, the cloud database binds the label information with the information of the vehicle, and when the information of the vehicle is uploaded to the cloud database, the information of the vehicle can be identified according to the label information of the vehicle, so that the vehicle can be conveniently searched, collected and sorted.
203. The terminal acquires the position information of the vehicle;
204. the terminal acquires first information according to the position information of the vehicle, wherein the first information is information of the condition of a target road in the driving process of the vehicle;
205. the terminal sends the first information to a cloud database, the cloud database comprises a plurality of kinds of standard information, and the standard information is information of standard operation behaviors under different road conditions;
206. the terminal acquires operation behavior information according to the cloud database, wherein the operation behavior information is standard operation behavior information under the condition of the target road;
207. the terminal acquires second information, wherein the second information is driving operation behavior information of a driver on the target road;
208. the terminal judges whether the second information is consistent with the operation behavior information;
209. the terminal driving mode switching module automatically switches the manual operation mode into an intelligent driving mode;
210. The terminal uploads the second information to an operation behavior evaluation system;
and when the terminal determines that the driving operation behavior information of the driver on the road is consistent with the operation behavior information stored in the cloud database, the terminal uploads the driving behavior information of the driver to an operation behavior evaluation system and carries out grading evaluation processing on the operation behavior information of the driver.
211. And the terminal sends the evaluation information fed back by the operation behavior evaluation system to the cloud database for storage.
After the terminal acquires the evaluation information fed back by the operation behavior evaluation system, if the evaluation of the operation behavior is better, the evaluation information and the operation behavior information of the operation behavior are uploaded to the cloud database and can be stored as standard operation behavior information, so that the terminal can be called conveniently and can be used as an operation behavior evaluation template of other drivers.
A third aspect of the present application provides an intelligent driving apparatus, comprising: a controller, a first processor, and a second processor;
the controller is electrically connected with the first processor and the second processor respectively; the controller is internally provided with a data processing module, and the data processing module consists of a signal receiving sensor, a signal sending sensor and a first circuit board.
Optionally, a road information acquisition module and a behavior detection module are arranged inside the first processor; the road information acquisition module consists of a first image sensor, an information acquisition device and a second circuit board, and the behavior detection module consists of a second image sensor, an information uploader and a third circuit board.
Optionally, a road planning module and a driving mode switching module are arranged in the second processor; the road planning module consists of a data analyzer and a fourth circuit board, and the driving mode switching module consists of an information instruction identification sensor and a fifth circuit board.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. An intelligent driving system, comprising: the system comprises a data processing module, a road information acquisition module, a behavior detection module, a road planning module and a driving mode switching module;
the data processing module is electrically connected with the road information acquisition module, the behavior detection module, the driving mode module and the road planning module respectively;
the road information acquisition module is used for extracting and collecting the condition information of surrounding roads in the driving process of the automobile in real time and sending the collected road condition information to the data processing module;
the behavior detection module is used for detecting and recording driving operation behavior information of a driver and sending the driving operation behavior information to the data processing module;
the data processing module is used for processing the data information transmitted by the road information acquisition module and the behavior detection module and uploading the processed data information to a cloud server, and the cloud server analyzes the received data information and feeds corresponding instruction information back to the data processing module;
the road planning module is used for planning the driving road of the vehicle after receiving the road planning information sent by the data processing module;
and the driving module switching module is used for switching the artificial driving mode into the automatic driving mode after receiving the mode switching information sent by the data processing module.
2. The intelligent driving system according to claim 1, further comprising: a vehicle positioning module;
the vehicle positioning module is electrically connected with the data processing module and comprises a high-precision radar and a GPS navigation device;
the vehicle positioning module is used for acquiring the position information of the vehicle in real time and sending the position information of the vehicle to the data processing module, and the road planning information comprises the position information of the vehicle.
3. The intelligent driving system according to claim 1, further comprising: a vehicle prompt alarm module;
the vehicle prompting and alarming module is electrically connected with the data processing module and the behavior detection module respectively;
the vehicle prompting and alarming module is used for sending out a prompting alarm when target information sent by the behavior detection module is received, wherein the target information is information that the driving behavior of a driver is inconsistent.
4. The intelligent driving system according to claim 1, wherein the data processing module comprises: a vehicle emergency braking module;
the vehicle emergency braking module is electrically connected with the data processing module;
and the vehicle emergency braking module is used for carrying out emergency braking processing on the vehicle after receiving the emergency braking information sent by the data processing module.
5. The intelligent driving system according to any one of claims 3 to 4, comprising: a behavior distance detection module;
the behavior distance detection module is electrically connected with the data processing module, the vehicle prompt alarm module and the vehicle emergency braking module respectively;
the behavior distance detection module is used for detecting that when the distance between the vehicle and the front object is smaller than a preset distance, information is sent to the vehicle prompt alarm module, the vehicle prompt alarm module sends out prompt alarm, and after the prompt alarm is sent out, the behavior detection module detects that the driving behavior of the driver is not changed, and the vehicle emergency braking module carries out emergency braking processing on the vehicle.
6. The intelligent driving system according to claim 5, wherein the data processing module comprises: the information receiving submodule, the information sorting submodule and the information sending submodule are arranged;
the information sorting submodule is electrically connected with the information receiving submodule and the information sending submodule respectively;
the information receiving submodule is used for receiving information sent by the road information acquisition module, the behavior detection module, the road planning module, the vehicle positioning module, the vehicle emergency braking module and the behavior distance detection module;
the information sorting submodule is used for sorting the information received by the information receiving submodule;
the information sending submodule is used for correspondingly sending the information which is arranged by the information arranging submodule to each module.
7. The intelligent driving system according to claim 5, wherein the road information collection module comprises: the information acquisition submodule and the data transmission submodule;
the information acquisition submodule and the data transmission submodule are respectively connected with a camera device;
the information acquisition submodule is used for sending the information image acquired by the camera device to the data transmission submodule; the data transmission submodule is used for transmitting the information image transmitted by the information acquisition submodule to the data processing module.
8. An intelligent driving method, comprising:
acquiring position information of a vehicle;
acquiring first information according to the position information of the vehicle, wherein the first information is information of the condition of a target road in the driving process of the vehicle;
sending the first information to a cloud database, wherein the cloud database comprises a plurality of kinds of standard information, and the standard information is information of standard operation behaviors under different road conditions;
acquiring operation behavior information according to the cloud database, wherein the operation behavior information is standard operation behavior information under the condition of the target road;
acquiring second information, wherein the second information is driving operation behavior information of a driver on the target road;
judging whether the second information is consistent with the operation behavior information;
if not, the driving mode switching module automatically switches the manual operation mode into the intelligent driving mode.
9. The intelligent driving method according to claim 8, wherein before the obtaining of the position information of the vehicle, the method further comprises:
binding label information of the vehicle, wherein the label information is unique identification information of the vehicle;
and uploading the label information to the cloud database.
10. The intelligent driving method according to claim 8, wherein after determining whether the second information system and the operational behavior information are consistent, the method further comprises:
if so, uploading the second information to an operation behavior evaluation system;
and sending the evaluation information fed back by the operation behavior evaluation system to the cloud database for storage.
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