CN110782649A - Driving monitoring method, system and device - Google Patents
Driving monitoring method, system and device Download PDFInfo
- Publication number
- CN110782649A CN110782649A CN201910984544.9A CN201910984544A CN110782649A CN 110782649 A CN110782649 A CN 110782649A CN 201910984544 A CN201910984544 A CN 201910984544A CN 110782649 A CN110782649 A CN 110782649A
- Authority
- CN
- China
- Prior art keywords
- passenger
- vehicle
- relative
- searched
- image
- 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.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video camera
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention relates to the technical field of driving monitoring, in particular to a driving monitoring method, a driving monitoring system and a driving monitoring device, wherein the method comprises the following steps: acquiring the position of a passenger and the position of a vehicle; judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not; when the distance is smaller than the preset distance threshold value, searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition; if the passenger exists in the image to be searched, determining the relative position relation between the passenger and the vehicle; and displaying the relative position relation to a driver, and simultaneously sending the relative position relation to the passenger. The invention combines face recognition and position detection, can accurately determine the position of the passenger, enables the driver to know the position of the passenger in time when the passenger arrives around the vehicle, and meanwhile, the passenger can also know the position of the driver in time, thereby avoiding the delay of the journey.
Description
Technical Field
The invention relates to the technical field of driving monitoring, in particular to a driving monitoring method, a driving monitoring system and a driving monitoring device.
Background
The popularization of intelligent equipment and the development of mobile internet bring great convenience to people's trip. The current taxi taking requirement is a common requirement of people in all levels of society, and intelligent taxi taking software connected with a taxi taking system solves the problem of information asymmetry between a taxi driver and a passenger.
The intelligent taxi taking software changes the traditional taxi taking mode, and establishes and cultivates a modernized user mode led by the era of large mobile internet. The intelligent taxi taking software helps taxi taking users to save a large amount of time and improve efficiency. However, after the driver is assigned to the passenger by the intelligent taxi-taking software, when the driver receives the passenger, the driver and the passenger often cannot accurately find the other side, so that the journey delay is caused.
Disclosure of Invention
In view of the above, the present invention has been made to provide a driving monitoring method, system and apparatus that overcome or at least partially solve the above problems.
According to a first aspect of the present invention, the present invention provides a driving monitoring method, applied in a driving recorder, the method comprising:
acquiring the position of a passenger and the position of a vehicle;
judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
when the distance is smaller than the preset distance threshold value, searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition;
if the passenger exists in the image to be searched, determining the relative position relation between the passenger and the vehicle;
and displaying the relative position relation to a driver, and simultaneously sending the relative position relation to the passenger.
Preferably, when the distance is smaller than the preset distance threshold, searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition includes:
when the distance is smaller than the preset distance threshold, acquiring the direction of the passenger relative to the vehicle;
acquiring and obtaining the image to be searched in the direction of the passenger relative to the vehicle;
and searching whether the passenger exists in the image to be searched through face recognition.
Preferably, the relative positional relationship includes at least one of a relative distance and a relative direction.
According to a second aspect of the present invention, the present invention provides a driving monitoring system, including a driving recorder, a cloud server and a passenger client;
the passenger client is used for collecting the position of a passenger and sending the position of the passenger to the cloud server;
the cloud server is used for forwarding the position of the passenger to the automobile data recorder;
the automobile data recorder is used for judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
the automobile data recorder is used for sending the collected image to be searched to the cloud server when the distance is smaller than the preset distance threshold;
the cloud server is further used for searching whether the passenger exists in the image to be searched through face recognition, obtaining a searching result and feeding the searching result back to the automobile data recorder;
the automobile data recorder is further used for determining the relative position relation between the passenger and the vehicle when the search result shows that the passenger exists in the image to be searched;
the automobile data recorder is further used for showing the relative position relation to a driver and sending the relative position relation to the passenger client.
Preferably, the automobile data recorder is specifically configured to:
and when the distance is smaller than the preset distance threshold, acquiring the direction of the passenger relative to the vehicle, and acquiring the image to be searched in the direction of the passenger relative to the vehicle.
Preferably, the relative positional relationship includes at least one of a relative distance and a relative direction.
According to a third aspect of the present invention, the present invention provides a driving monitoring device, which is applied to a driving recorder, the device comprising:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring the position of a passenger and the position of a vehicle;
the judging module is used for judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
the searching module is used for searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition when the distance is smaller than the preset distance threshold;
the determining module is used for determining the relative position relation between the passenger and the vehicle if the passenger exists in the image to be searched;
and the notification module is used for showing the relative position relation to a driver and simultaneously sending the relative position relation to the passenger.
Preferably, the searching module includes:
an acquisition unit configured to acquire a direction of the passenger with respect to the vehicle when the distance is smaller than the preset distance threshold;
the acquisition unit is used for acquiring and obtaining the image to be searched in the direction of the passenger relative to the vehicle;
and the searching unit is used for searching whether the passenger exists in the image to be searched through face recognition.
According to a fourth aspect of the present invention, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the method steps as in the first aspect described above.
According to a fifth aspect of the present invention, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the method steps as in the first aspect when executing the program.
According to the driving monitoring method, the driving monitoring system and the driving monitoring device, the position of a passenger and the position of a vehicle are obtained firstly. It is then determined whether the distance between the position of the occupant and the position of the vehicle is less than a preset distance threshold. And when the distance is smaller than a preset distance threshold value, whether passengers exist is searched in the image to be searched, which is acquired by the driving recorder through face recognition. And if the passenger exists in the image to be searched, determining the relative position relation between the passenger and the vehicle. Finally, the relative positional relationship is presented to the driver, while the relative positional relationship is transmitted to the passenger. The invention combines face recognition and position detection, can accurately determine the position of the passenger, enables the driver to know the position of the passenger in time when the passenger arrives around the vehicle, and meanwhile, the passenger can also know the position of the driver in time, thereby avoiding the delay of the journey.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 shows a flow chart of a driving monitoring method according to a first embodiment of the invention;
FIG. 2 is a schematic diagram of a traffic monitoring system according to a second embodiment of the present invention;
fig. 3 shows a structural view of a traffic monitoring apparatus in a third embodiment of the present invention;
fig. 4 shows a block diagram of a computer apparatus in a fourth embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The first embodiment of the invention provides a driving monitoring method, which is applied to a driving recorder. As shown in fig. 1, the method comprises the steps of:
step 101: the position of the passenger and the position of the vehicle are acquired.
Specifically, in the present invention, the passenger side is provided with a passenger client by which the passenger can take a taxi and place a ticket. The passenger client has a positioning function, and can acquire the current position of the passenger through the positioning function. After the passenger client acquires the position, the position is sent to the cloud server. And then, the cloud server sends the position to the travel recorder, so that the automobile data recorder can acquire the position of the passenger.
In addition, in the present invention, there are two acquisition methods for the position of the vehicle. In the first acquisition mode, since the trip recorder is installed in the vehicle, the vehicle and the trip recorder often have a connection relationship, and therefore, the position of the trip recorder can be acquired by the vehicle and sent to the trip recorder by the vehicle. In the second acquisition mode, since the trip recorder is installed in the vehicle, the position of the trip recorder can be regarded as the position of the vehicle. The automobile data recorder often has a positioning function, so that the automobile data recorder acquires the position of the automobile data recorder and takes the position as the position of the vehicle.
After step 101 is completed, step 102 is performed: it is determined whether the distance between the position of the passenger and the position of the vehicle is less than a preset distance threshold.
Further, after acquiring the position of the passenger and the position of the vehicle, the automobile data recorder determines the distance between the position of the passenger and the position of the vehicle. And judging whether the distance is smaller than a preset distance threshold value. The preset distance threshold is a distance preset by a user, and the distance can be adjusted according to actual needs. For example, the preset distance threshold may be set at 10 meters.
After step 102 is completed, step 103 is performed: and when the distance is smaller than a preset distance threshold value, whether passengers exist is searched in the image to be searched, which is acquired by the driving recorder through face recognition.
Specifically, when the distance between the position of the passenger and the position of the vehicle is less than a preset distance threshold, the face recognition function of the drive recorder is turned on. At the moment, the image acquired by the automobile data recorder is the image to be searched. And then, the automobile data recorder searches whether passengers exist in the image to be searched. It should be noted that, if the passenger is searched by the automobile data recorder, the passenger client needs to send the face image of the passenger to the automobile data recorder in advance.
Further, in order to improve the searching accuracy, the searching efficiency is improved. When the distance is smaller than the preset distance threshold, the direction of the passenger relative to the vehicle can be obtained firstly, then the image to be searched is acquired in the direction of the passenger relative to the vehicle, and finally whether the passenger exists in the image to be searched is searched through face recognition. The direction of the passenger relative to the vehicle can likewise be determined from the position of the passenger and the vehicle. For example, it may be determined by the position of the passenger and the vehicle that the passenger is to the left, right, front, or rear of the vehicle. In addition, a vehicle event recorder which acquires the image to be searched in the direction of the passenger relative to the vehicle can change aiming at the acquisition direction.
After step 103 is completed, step 104 is performed: and if the passenger exists in the image to be searched, determining the relative position relation between the passenger and the vehicle.
Specifically, the relative positional relationship in the present invention includes at least one of a relative distance and a relative direction, in which both the relative distance and the relative direction of the passenger from the vehicle can be determined, and the relative distance and the relative direction of the passenger from the vehicle can be determined at the same time. Either the relative distance or the relative direction may be determined based on the position of the occupant and the position of the vehicle. For example, from the position of the passenger and the position of the vehicle, it can be determined that the passenger is five meters in front of the vehicle.
After completing step 104, step 105 is performed: the relative positional relationship is presented to the driver while the relative positional relationship is transmitted to the passenger.
Specifically, there are the following two embodiments as to how the relative positional relationship is transmitted to the driver. In the first embodiment, since the automobile data recorder can exist in the form of a rearview mirror, the relative position relationship can be directly displayed on the automobile data recorder, the driver can know the relative position relationship by watching the automobile data recorder, and meanwhile, the passenger can know that the passenger has arrived within the visual field of the automobile data recorder according to the relative position relationship displayed by the automobile data recorder. In a second embodiment, the tachograph can also transmit the relative position to the driver client on the driver side.
Further, the event data recorder may also send the relative positional relationship to the passenger client of the passenger so that the passenger client knows that the vehicle has arrived around. Specifically, the trip recorder can forward the relative position relation to the passenger client through the cloud server.
Based on the same inventive concept, a driving monitoring system is provided in a second embodiment of the present invention, as shown in fig. 2, the system includes a driving recorder, a cloud server, and a passenger client.
Specifically, the passenger client is used for collecting the position of the passenger and sending the position of the passenger to the cloud server. The cloud server is used for forwarding the positions of the passengers to the automobile data recorder. The automobile data recorder is used for judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value. The automobile data recorder is used for sending the collected image to be searched to the cloud server when the distance is smaller than a preset distance threshold value. The cloud server is further used for searching whether passengers exist in the image to be searched through face recognition, obtaining a searching result and feeding the searching result back to the automobile data recorder. The automobile data recorder is also used for determining the relative position relation between the passenger and the vehicle when the searching result shows that the passenger exists in the image to be searched. The automobile data recorder is further used for showing the relative position relation to a driver and sending the relative position relation to the passenger client.
Specifically, to improve the search accuracy and at the same time improve the search efficiency. In a second embodiment, when the distance is less than the preset distance threshold, the vehicle event data recorder may first acquire the direction of the passenger relative to the vehicle, and then acquire the image to be searched in the direction of the passenger relative to the vehicle.
Specifically, the relative positional relationship includes at least one of a relative distance and a relative direction. The relative distance between the passenger and the vehicle, the relative direction between the passenger and the vehicle, and the relative distance between the passenger and the vehicle and the relative direction between the passenger and the vehicle can be determined simultaneously. Either the relative distance or the relative direction may be determined based on the position of the occupant and the position of the vehicle. For example, from the position of the passenger and the position of the vehicle, it can be determined that the passenger is five meters in front of the vehicle.
Specifically, how to show the relative position relationship to the driver and send the relative position relationship to the passenger client by the automobile data recorder can be implemented by referring to the scheme disclosed in the first embodiment, and details are not described here.
It should be noted that, in the second embodiment, the passenger is searched by the cloud server, and then the passenger client needs to send the facial image of the passenger to the cloud server in advance. The processing pressure of the automobile data recorder can be reduced by utilizing the cloud server to realize face recognition, and the processing efficiency is improved.
Based on the same inventive concept, a third embodiment of the present invention provides a driving monitoring device, which is applied in a driving recorder, as shown in fig. 3, the device includes:
an obtaining module 301, configured to obtain a position of a passenger and a position of a vehicle;
a determining module 302, configured to determine whether a distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold;
the searching module 303 is configured to search whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition when the distance is smaller than the preset distance threshold;
a determining module 304, configured to determine a relative position relationship between the passenger and the vehicle if the passenger exists in the image to be searched;
a notification module 305 for presenting the relative positional relationship to a driver while transmitting the relative positional relationship to the passenger.
Preferably, the searching module 303 includes:
an acquisition unit configured to acquire a direction of the passenger with respect to the vehicle when the distance is smaller than the preset distance threshold;
the acquisition unit is used for acquiring and obtaining the image to be searched in the direction of the passenger relative to the vehicle;
and the searching unit is used for searching whether the passenger exists in the image to be searched through face recognition.
Based on the same inventive concept, a fourth embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the method steps of the previous embodiments.
Based on the same inventive concept, a fifth embodiment of the present invention further provides a computer apparatus, as shown in fig. 4, for convenience of description, only the parts related to the embodiment of the present invention are shown, and details of the specific technology are not disclosed, please refer to the method part of the embodiment of the present invention. The computer device may be any terminal device including a mobile phone, a tablet computer, a PDA (Personal digital assistant), a POS (Point of Sales), a vehicle-mounted computer, and the like, taking the computer device as the mobile phone as an example:
fig. 4 is a block diagram illustrating a partial structure associated with a computer device provided by an embodiment of the present invention. Referring to fig. 4, the computer apparatus includes: a memory 401 and a processor 402. Those skilled in the art will appreciate that the computer device configuration illustrated in FIG. 4 does not constitute a limitation of computer devices, and may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components.
The following describes the components of the computer device in detail with reference to fig. 4:
the memory 401 may be used to store software programs and modules, and the processor 402 executes various functional applications and data processing by operating the software programs and modules stored in the memory 401. The memory 401 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.), and the like. Further, the memory 401 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 402 is a control center of the computer device, and performs various functions and processes data by operating or executing software programs and/or modules stored in the memory 401 and calling data stored in the memory 401. Alternatively, processor 402 may include one or more processing units; preferably, the processor 402 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications.
In the embodiment of the present invention, the processor 402 included in the computer device may have the functions corresponding to the method steps in any of the foregoing embodiments.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in accordance with embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
Claims (10)
1. A driving monitoring method is characterized by being applied to a driving recorder, and the method comprises the following steps:
acquiring the position of a passenger and the position of a vehicle;
judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
when the distance is smaller than the preset distance threshold value, searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition;
if the passenger exists in the image to be searched, determining the relative position relation between the passenger and the vehicle;
and displaying the relative position relation to a driver, and simultaneously sending the relative position relation to the passenger.
2. The method of claim 1, wherein when the distance is smaller than the preset distance threshold, searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition comprises:
when the distance is smaller than the preset distance threshold, acquiring the direction of the passenger relative to the vehicle;
acquiring and obtaining the image to be searched in the direction of the passenger relative to the vehicle;
and searching whether the passenger exists in the image to be searched through face recognition.
3. The method of claim 1, wherein the relative positional relationship comprises at least one of a relative distance and a relative direction.
4. A driving monitoring system is characterized by comprising a driving recorder, a cloud server and a passenger client;
the passenger client is used for collecting the position of a passenger and sending the position of the passenger to the cloud server;
the cloud server is used for forwarding the position of the passenger to the automobile data recorder;
the automobile data recorder is used for judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
the automobile data recorder is used for sending the collected image to be searched to the cloud server when the distance is smaller than the preset distance threshold;
the cloud server is further used for searching whether the passenger exists in the image to be searched through face recognition, obtaining a searching result and feeding the searching result back to the automobile data recorder;
the automobile data recorder is further used for determining the relative position relation between the passenger and the vehicle when the search result shows that the passenger exists in the image to be searched;
the automobile data recorder is further used for showing the relative position relation to a driver and sending the relative position relation to the passenger client.
5. The system of claim 4, wherein the tachograph is specifically configured to:
and when the distance is smaller than the preset distance threshold, acquiring the direction of the passenger relative to the vehicle, and acquiring the image to be searched in the direction of the passenger relative to the vehicle.
6. The system of claim 4, wherein the relative positional relationship comprises at least one of a relative distance and a relative direction.
7. The driving monitoring device is characterized by being applied to a driving recorder, and comprising:
the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring the position of a passenger and the position of a vehicle;
the judging module is used for judging whether the distance between the position of the passenger and the position of the vehicle is smaller than a preset distance threshold value or not;
the searching module is used for searching whether the passenger exists in the image to be searched acquired by the automobile data recorder through face recognition when the distance is smaller than the preset distance threshold;
the determining module is used for determining the relative position relation between the passenger and the vehicle if the passenger exists in the image to be searched;
and the notification module is used for showing the relative position relation to a driver and simultaneously sending the relative position relation to the passenger.
8. The apparatus of claim 7, wherein the lookup module comprises:
an acquisition unit configured to acquire a direction of the passenger with respect to the vehicle when the distance is smaller than the preset distance threshold;
the acquisition unit is used for acquiring and obtaining the image to be searched in the direction of the passenger relative to the vehicle;
and the searching unit is used for searching whether the passenger exists in the image to be searched through face recognition.
9. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method steps of any one of claims 1 to 3.
10. A tachograph comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method steps of any of claims 1 to 3 when executing the program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910984544.9A CN110782649A (en) | 2019-10-16 | 2019-10-16 | Driving monitoring method, system and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910984544.9A CN110782649A (en) | 2019-10-16 | 2019-10-16 | Driving monitoring method, system and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110782649A true CN110782649A (en) | 2020-02-11 |
Family
ID=69385780
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910984544.9A Pending CN110782649A (en) | 2019-10-16 | 2019-10-16 | Driving monitoring method, system and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110782649A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016002527A1 (en) * | 2014-06-30 | 2016-01-07 | みこらった株式会社 | Mobile body calling system, calling device, and wireless communication device |
| CN105913652A (en) * | 2016-06-22 | 2016-08-31 | 佛山市联智新创科技有限公司 | Intelligent taxi hailing system |
| CN107221151A (en) * | 2016-03-21 | 2017-09-29 | 滴滴（中国）科技有限公司 | Order driver based on image recognition recognizes the method and device of passenger |
| CN107437183A (en) * | 2016-05-25 | 2017-12-05 | 滴滴（中国）科技有限公司 | A kind of confirmation method and system of passenger identity of getting on the bus |
| CN107800747A (en) * | 2016-09-07 | 2018-03-13 | 北京嘀嘀无限科技发展有限公司 | A kind of passenger's locating and displaying processing method and processing device |
| CN107844284A (en) * | 2016-09-19 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | A kind of passenger's location processing method and server |
-
2019
- 2019-10-16 CN CN201910984544.9A patent/CN110782649A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016002527A1 (en) * | 2014-06-30 | 2016-01-07 | みこらった株式会社 | Mobile body calling system, calling device, and wireless communication device |
| CN107221151A (en) * | 2016-03-21 | 2017-09-29 | 滴滴（中国）科技有限公司 | Order driver based on image recognition recognizes the method and device of passenger |
| CN107437183A (en) * | 2016-05-25 | 2017-12-05 | 滴滴（中国）科技有限公司 | A kind of confirmation method and system of passenger identity of getting on the bus |
| CN105913652A (en) * | 2016-06-22 | 2016-08-31 | 佛山市联智新创科技有限公司 | Intelligent taxi hailing system |
| CN107800747A (en) * | 2016-09-07 | 2018-03-13 | 北京嘀嘀无限科技发展有限公司 | A kind of passenger's locating and displaying processing method and processing device |
| CN107844284A (en) * | 2016-09-19 | 2018-03-27 | 北京嘀嘀无限科技发展有限公司 | A kind of passenger's location processing method and server |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10222227B2 (en) | Navigation systems and associated methods | |
| US20150163620A1 (en) | Method and Apparatus For Social Telematics | |
| JP6613623B2 (en) | On-vehicle device, operation mode control system, and operation mode control method | |
| JP2022519895A (en) | Systems and methods that correlate user attention and appearance | |
| CN109389849B (en) | Information providing device and information providing system | |
| US9694747B2 (en) | Method and system for providing a collision alert | |
| EP3635337B1 (en) | Systems and methods for selecting a poi to associate with a navigation maneuver | |
| JP2019067201A (en) | Vehicle search system, vehicle search method, and vehicle and program employed in the same | |
| JP2019035615A (en) | Digital signage controller, method for controlling digital signage, program, and recording medium | |
| US20120116671A1 (en) | System for providing point of interest information and method thereof | |
| US20190219416A1 (en) | Vehicle-mounted device, server, navigation system, recording medium storing map display program, and map display method | |
| CN114333404A (en) | Vehicle searching method and device for parking lot, vehicle and storage medium | |
| US9911151B1 (en) | System and method of inventory management and marketing for vehicles | |
| US10163345B2 (en) | Method and device for providing an event message indicative of an imminent event for a vehicle | |
| US20200294119A1 (en) | Computer program product and computer-implemented method | |
| CN110782649A (en) | Driving monitoring method, system and device | |
| JP2020024655A (en) | Information providing system, information providing device, information providing method, and program | |
| US20220009350A1 (en) | System and method for generating content recommendation rules for a vehicle | |
| CN110096062B (en) | Vehicle control method and device and vehicle | |
| CN113442910B (en) | Method, device, equipment and readable storage medium for parking assistance | |
| CN111354207A (en) | Display method, display system, storage medium and vehicle-mounted terminal for front road condition | |
| CN113015094B (en) | Equipment positioning method and device | |
| WO2024140404A1 (en) | Interaction method, apparatus and system | |
| US20220012606A1 (en) | System and method for incorporating non-vehicular event data into vehicle system | |
| JP2023136465A (en) | Information providing system |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200211 |