CN111081025B - Traffic supervision method, device and storage medium - Google Patents
Traffic supervision method, device and storage medium Download PDFInfo
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- CN111081025B CN111081025B CN201811216760.0A CN201811216760A CN111081025B CN 111081025 B CN111081025 B CN 111081025B CN 201811216760 A CN201811216760 A CN 201811216760A CN 111081025 B CN111081025 B CN 111081025B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
Abstract
The present disclosure relates to a traffic supervision method, apparatus, and storage medium to achieve effective supervision of vehicle illegal activities. The traffic supervision method is applied to vehicles and comprises the following steps: acquiring an image of a vehicle around a target vehicle and an image of a surrounding environment of the surrounding vehicle; determining whether there is illegal activity in the surrounding vehicle at least according to the image of the surrounding vehicle and the image of the surrounding environment; when it is determined that the surrounding vehicle has the illegal action, at least the image of the surrounding vehicle and the image of the surrounding environment are uploaded to a server, so that the server supervises the vehicle with the illegal action at least according to the image of the surrounding vehicle and the image of the surrounding environment.
Description
Technical Field
The present disclosure relates to the field of traffic technologies, and in particular, to a traffic monitoring method, an apparatus, and a storage medium.
Background
With the continuous development of scientific technology, the vehicle technology is also developed rapidly, and driving the vehicle for traveling has become the first choice of people. In order to standardize the driving behavior of drivers and avoid dangerous situations, related departments set out a series of traffic laws and regulations. However, a large number of drivers still illegally drive in the actual driving process, and the safety of the drivers and other vehicles is seriously affected.
In the related art, illegal behaviors of vehicles are mainly supervised in a mode of shooting by a camera arranged on a road and patrolling by a traffic police. For the mode of monitoring the cameras, because each camera is spaced by a long distance, the condition that the illegal behaviors of the vehicle cannot be monitored in time exists, and for the mode of monitoring the patrol of the traffic police, because the personnel of the traffic police are limited, the region for monitoring the patrol is limited, the illegal behaviors of the vehicle cannot be effectively monitored.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a traffic supervision method, apparatus and storage medium, so as to implement timely and effective supervision of vehicle illegal activities.
According to a first aspect of the embodiments of the present disclosure, there is provided a traffic supervision method applied to a vehicle, including:
acquiring an image of a vehicle around a target vehicle and an image of a surrounding environment of the surrounding vehicle;
determining whether there is illegal activity in the surrounding vehicle at least according to the image of the surrounding vehicle and the image of the surrounding environment;
when it is determined that the surrounding vehicle has the illegal action, at least the image of the surrounding vehicle and the image of the surrounding environment are uploaded to a server, so that the server supervises the vehicle with the illegal action at least according to the image of the surrounding vehicle and the image of the surrounding environment.
Optionally, the method further comprises:
acquiring position information of the target vehicle;
the determining whether the surrounding vehicle has illegal activity at least according to the image of the surrounding vehicle and the image of the surrounding environment comprises:
determining whether the surrounding vehicle has illegal behaviors according to the image of the surrounding vehicle, the image of the surrounding environment and the position information;
the uploading at least the image of the surrounding vehicle and the image of the surrounding environment to the server so that the server supervises the vehicle with illegal behaviors at least according to the image of the surrounding vehicle and the image of the surrounding environment comprises:
uploading the image of the surrounding vehicle, the image of the surrounding environment and the position information to the server, so that the server supervises the vehicle with illegal behaviors according to the image of the surrounding vehicle, the image of the surrounding environment and the position information.
Optionally, the method further comprises:
acquiring time information recorded by the target vehicle;
the determining whether the surrounding vehicle has illegal activity at least according to the image of the surrounding vehicle and the image of the surrounding environment comprises:
determining whether the surrounding vehicle has illegal behaviors according to the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information;
the uploading at least the image of the surrounding vehicle and the image of the surrounding environment to the server so that the server supervises the vehicle with illegal behaviors at least according to the image of the surrounding vehicle and the image of the surrounding environment comprises:
uploading the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information to the server, so that the server supervises the vehicle with illegal behaviors according to the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information.
Optionally, the method further comprises:
acquiring vehicle information of the target vehicle;
the uploading at least the image of the surrounding vehicle and the image of the surrounding environment to the server includes:
uploading the image of the surrounding vehicle, the image of the surrounding environment, and the vehicle information to the server.
Optionally, acquiring an image of a surrounding vehicle of the target vehicle and an image of a surrounding environment of the surrounding vehicle comprises:
when it is detected that a vehicle exists around the target vehicle, an image of a surrounding vehicle of the target vehicle and an image of a surrounding environment of the surrounding vehicle are acquired.
In a second aspect, the present disclosure further provides a traffic supervision method, applied to a server, including:
receiving at least an image of a surrounding vehicle of a target vehicle and an image of a surrounding environment of the surrounding vehicle;
and supervising the vehicle with illegal behaviors at least according to the image of the surrounding vehicle and the image of the surrounding environment.
In a third aspect, the present disclosure also provides a traffic supervision apparatus, including:
an image acquisition module for acquiring an image of a vehicle around the vehicle and an image of a surrounding environment of the vehicle;
a determination module for determining whether there is an illegal activity by the surrounding vehicle at least according to the image of the surrounding vehicle and the image of the surrounding environment;
the uploading module is used for uploading at least the image of the surrounding vehicle and the image of the surrounding environment to a server when the surrounding vehicle is determined to have the illegal behavior, so that the server supervises the vehicle with the illegal behavior at least according to the image of the surrounding vehicle and the image of the surrounding environment.
Optionally, the apparatus further comprises:
the first acquisition module is used for acquiring the position information of the target vehicle;
the determining module is used for determining whether illegal behaviors exist in the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment and the position information;
the uploading module is used for uploading the image of the surrounding vehicle, the image of the surrounding environment and the position information to the server when the surrounding vehicle is determined to have the illegal action, so that the server supervises the vehicle with the illegal action according to the image of the surrounding vehicle, the image of the surrounding environment and the position information.
Optionally, the apparatus further comprises:
the second acquisition module is used for acquiring the time information recorded by the target vehicle;
the determining module is used for determining whether the surrounding vehicle has illegal behaviors according to the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information;
the uploading module is used for uploading the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information to the server when the surrounding vehicle is determined to have the illegal action, so that the server supervises the vehicle with the illegal action according to the image of the surrounding vehicle, the image of the surrounding environment, the position information and the time information.
Optionally, the apparatus further comprises:
the third acquisition module is used for acquiring the vehicle information of the target vehicle;
the uploading module is used for uploading the images of the surrounding vehicles, the images of the surrounding environment and the vehicle information to the server.
Optionally, the image acquiring module is configured to acquire an image of vehicles around the target vehicle and an image of a surrounding environment of the surrounding vehicle when it is detected that a vehicle exists around the target vehicle.
In a fourth aspect, the present disclosure further provides a traffic supervision apparatus, applied to a server, including:
a receiving module for receiving at least an image of a surrounding vehicle of a target vehicle and an image of a surrounding environment of the surrounding vehicle;
and the supervision module is used for supervising the vehicle with illegal behaviors at least according to the image of the surrounding vehicle and the image of the surrounding environment.
In a fifth aspect, the present disclosure also provides a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the steps of the method of any one of the first and second aspects.
By the method of the embodiment of the disclosure, the image of the surrounding vehicle of the target vehicle and the image of the surrounding environment of the surrounding vehicle can be shot, whether illegal behaviors exist in the surrounding vehicle of the target vehicle is determined according to the image of the surrounding vehicle and the image of the surrounding environment, and when the illegal behaviors exist in the surrounding vehicle, at least the image of the surrounding vehicle and the image of the surrounding environment are uploaded to the server, so that the server can supervise the vehicle with the illegal behaviors at least according to the image of the surrounding vehicle and the image of the surrounding environment. That is to say, the method of the embodiment of the present disclosure can implement the supervision of the illegal activities of other vehicles around through any vehicle on the road, that is, the vehicles can supervise each other, compared with the modes of camera supervision and traffic police patrol supervision in the related art, the method of the embodiment of the present disclosure can implement the timely and effective supervision of the illegal activities of the vehicles under the full-time and full-road network, and when it is determined that the illegal activities exist in the vehicles, the vehicle images with the illegal activities are uploaded to the server, which is beneficial to the automatic archiving of the illegal evidence, and the centralized management of the illegal activities of the vehicles is implemented.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
FIG. 1 is a flow chart illustrating a method of traffic supervision according to an exemplary embodiment.
FIG. 2 is a flow chart illustrating another method of traffic supervision according to an exemplary embodiment.
FIG. 3 is a block diagram illustrating a traffic surveillance appliance, according to an exemplary embodiment.
FIG. 4 is a block diagram illustrating another traffic policing apparatus according to an example embodiment.
FIG. 5 is a block diagram illustrating a traffic surveillance system according to an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
First, it is explained that the target vehicle and the surrounding vehicle in the embodiment of the present disclosure may be different kinds of vehicles such as an electric vehicle, a hybrid vehicle, and the like, and the embodiment of the present disclosure is not limited to the kind and form of the target vehicle and the surrounding vehicle.
FIG. 1 is a flow chart illustrating a traffic supervision method, as shown in FIG. 1, that may be applied to a vehicle, according to an exemplary embodiment, including the steps of:
step S101, acquiring an image of a vehicle around a target vehicle and an image of the surrounding environment of the vehicle;
step S102, determining whether the surrounding vehicle has illegal behaviors according to at least the images of the surrounding vehicle and the images of the surrounding environment;
step S103, when it is determined that the surrounding vehicle has the illegal action, uploading at least the image of the surrounding vehicle and the image of the surrounding environment to a server, so that the server supervises the vehicle having the illegal action at least according to the image of the surrounding vehicle and the image of the surrounding environment.
In step S101, the image of the surrounding vehicle and the image of the surrounding environment of the surrounding vehicle may be a still image, a moving image, or the like. The image of the surrounding vehicle and the image of the surrounding environment of the surrounding vehicle may be obtained by real-time image capturing of the surrounding vehicle and the surrounding environment of the surrounding vehicle by a camera provided on the target vehicle, or may be obtained by real-time video capturing of the surrounding vehicle and the surrounding environment of the surrounding vehicle by a camera provided on the target vehicle and then from a frame image of the video, and the like, which is not limited in the embodiment of the present disclosure.
It should be understood that, in order to timely monitor the illegal behaviors of the surrounding vehicles, after the target vehicle is started, the cameras arranged on the target vehicle can be automatically turned on to shoot the surrounding vehicles so as to obtain images of the surrounding vehicles. Alternatively, in order to save energy consumption of the vehicle, it may be that when it is detected that a vehicle exists around the target vehicle, an image of vehicles around the target vehicle and an image of surroundings of the surrounding vehicle are acquired.
After the images of the surrounding vehicles and the images of the surrounding environment of the surrounding vehicles are acquired, whether the surrounding vehicles have illegal behaviors or not can be determined at least according to the images. For example, when the surrounding vehicle may have suspected illegal behaviors such as illegal road occupation or illegal parking, the target vehicle may upload the captured image to the server, and then the server may supervise the vehicle having the illegal behaviors at least according to the image.
It should be understood that, the manner in which the server supervises the vehicle with the illegal activity may be, for example, sending prompt information to the vehicle with the illegal activity to remind a driver of the vehicle with the illegal activity of the vehicle of the illegal activity, or obtaining relevant information of the vehicle with the illegal activity, such as a vehicle type, a license plate number, vehicle owner information, and the like, according to at least the image, and then archiving the relevant information, and the like.
For example, the subject vehicle takes an image of the surrounding vehicle a, which includes the license plate number of the surrounding vehicle a, and images of the surroundings of the surrounding vehicle a are captured, and by performing image analysis on the captured images, it is determined that the surrounding vehicle a is parked in the parking prohibition area, i.e., it is determined that there is illegal activity in the surrounding vehicle a, the target vehicle may upload the captured image of the surrounding vehicle a to the server, then, after receiving the image, the server analyzes and processes the image to determine the vehicle information of the surrounding vehicle a, such as the license plate number, the model, and the like, and, it may be determined that there is illegal parking behavior for the surrounding vehicle a, the server may first send a prompt message of illegal parking thereof to the surrounding vehicle a, and may store the vehicle information of the surrounding vehicle a and the illegal behavior.
It should be understood that, in another embodiment, the surrounding vehicle a may also be a target vehicle, that is, the surrounding vehicle a may also shoot other surrounding vehicles through a camera provided by the surrounding vehicle a to realize monitoring of other surrounding vehicles.
By the traffic supervision method, the illegal behaviors of other surrounding vehicles can be supervised through any vehicle on the road, timely and effective supervision of the illegal behaviors of the vehicles can be realized in the full-time and full-road network, and when the illegal behaviors of the vehicles are determined, the images of the vehicles with the illegal behaviors are uploaded to the server, so that automatic archiving of illegal evidence is facilitated, and centralized management of the illegal behaviors of the vehicles is realized.
Alternatively, in the embodiment of the present disclosure, the location information of the target vehicle may also be obtained, and then in step S102, it may be determined whether there is an illegal act on the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment, and the location information, and accordingly, in step S103, the image of the surrounding vehicle, the image of the surrounding environment, and the location information may be uploaded to the server, so that the server supervises the vehicle with the illegal act according to the image of the surrounding vehicle, the image of the surrounding environment, and the location information.
The location information may be represented by the name of the street or road where the target vehicle is currently located, for example, the first major road, or the location information may also be represented by the longitude and latitude of the current location of the target vehicle, and the specific content of the location information is not limited in this disclosure.
The position information of the target vehicle may be obtained through a navigation system (e.g., a beidou satellite navigation system, etc.) provided on the target vehicle, or may also be obtained through other methods.
After the position information of the target vehicle is obtained, it may be determined whether there is an illegal action on the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment, and the position information, for example, it may be determined whether there is an illegal action on the surrounding vehicle according to the image of the surrounding vehicle and the surrounding environment, the relative position relationship between the surrounding vehicle and the target vehicle, the position information of the surrounding vehicle according to the relative position relationship and the position information of the target vehicle, and then it may be determined whether there is an illegal action on the surrounding vehicle according to the position information of the surrounding vehicle and the condition of the surrounding vehicle in the image.
For example, the position information of the target vehicle is a first road, a section of dynamic images of the surrounding vehicle B and the surrounding environment of the surrounding vehicle B are captured, it is determined that the surrounding vehicle B is located 100 meters ahead of the target vehicle based on the dynamic images, it is then determined that the surrounding vehicle B is located at the first road junction based on the current position information of the target vehicle, and at the same time, it is determined that the surrounding vehicle is turning around based on the dynamic images, and if the turning around of the vehicle is prohibited at the first road junction, it can be determined that there is an illegal action of the surrounding vehicle B.
After the surrounding vehicle is determined to have the illegal action, the image of the surrounding vehicle, the image of the surrounding environment and the position information can be uploaded to the server, so that the server can supervise the vehicle having the illegal action according to the image of the surrounding vehicle, the image of the surrounding environment and the position information, for example, in the case of determining that the surrounding vehicle B has the illegal action, the dynamic image of the surrounding vehicle B and the surrounding environment of the surrounding vehicle B and the position information of the target vehicle can be uploaded to the server, then the server can determine that the target vehicle shoots the surrounding vehicle B on the first road to turn around at the first road intersection illegally according to the dynamic image and the position information, so that the illegal supervision can be carried out on the surrounding vehicle B, for example, the illegal action of the surrounding vehicle B can be filed and subjected to illegal punishment, and so on.
It should be understood that, while uploading the image of the surrounding vehicle, the image of the surrounding environment of the surrounding vehicle, and the location information of the target vehicle to the server, the determined location information of the surrounding vehicle may also be uploaded to the server, so that when analyzing the received image, the server only needs to determine the state of the surrounding vehicle, and of course, if the location information of the surrounding vehicle is not uploaded to the server at the time of uploading, the server may determine the location information of the surrounding vehicle according to the received image and the location information of the target vehicle in the above mentioned manner, and then may determine where the surrounding vehicle has illegal activities, so as to facilitate the supervision of the vehicle illegal activities.
Through the mode, the position information of the target vehicle can be acquired, and the specific position of the illegal behavior of the vehicle can be determined, so that the illegal behavior of the vehicle can be effectively supervised.
Optionally, in the embodiment of the present disclosure, time information recorded by the target vehicle may also be obtained, and then in step S102, it may be determined whether there is an illegal act on the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment, the location information, and the time information, and accordingly, in step S103, the image of the surrounding vehicle, the image of the surrounding environment, the location information, and the time information may be uploaded to the server, so that the server supervises the vehicle in which there is an illegal act according to the image of the surrounding vehicle, the image of the surrounding environment, the location information, and the time information.
For example, if it is specified that vehicles with end numbers of "0" and "7" are restricted between 7 am on wednesday and 8 pm, the restricted road section is within three rings, the position information of the target vehicle is a second major road (located within three rings), and the time recorded by the target vehicle is 3 pm on wednesday, at this time, the target vehicle captures an image of the surrounding vehicle C and the surrounding environment of the surrounding vehicle C, and determines that the end number of the license plate of the surrounding vehicle C is "0" based on the image, and is traveling on the second major road, it is possible to determine that the surrounding vehicle C is illegally traveling, at this time, the target vehicle may upload the captured image of the surrounding vehicle C, the surrounding environment of the surrounding vehicle C, the position information and the time information of the surrounding vehicle C to the server, and the server may determine that the surrounding vehicle C is traveling on wednesday at 3 pm, and illegally traveling on the second major road belonging to the restricted road section, thus, the illegal activities of the surrounding vehicles C can be archived and the illegal punishment can be performed.
Through the mode, whether the vehicle has the illegal behaviors or not can be accurately determined by combining the image, the position information of the target vehicle and the recorded time and information, and the occurrence time of the illegal behaviors of the vehicle can be further determined, so that the illegal behaviors of the vehicle can be effectively supervised.
For the same illegal action of a certain vehicle, a plurality of target vehicles may monitor the illegal action around the certain vehicle, so as to facilitate management of information uploaded by the plurality of target vehicles, vehicle information of the plurality of target vehicles may be uploaded to the server when the information is uploaded, that is, optionally, in the embodiment of the present disclosure, vehicle information of the target vehicle may also be acquired, and accordingly, in step S103, an image of a surrounding vehicle, an image of a surrounding environment of the surrounding vehicle, and the vehicle information may be uploaded to the server.
The vehicle information includes a license plate number of the target vehicle, or owner information of the target vehicle, etc., as long as the vehicle information uniquely identifies the target vehicle.
For example, in the example of the surrounding vehicle a described above, after it is determined that the surrounding vehicle a has illegal parking behavior, the license plate number of the target vehicle may also be acquired, and then the surrounding vehicle a, the image of the surrounding environment of the surrounding vehicle a, and the license plate number of the target vehicle may be uploaded to the server.
Through the mode, the vehicle information of the target vehicle can be acquired, so that when the illegal behaviors of a certain vehicle are shot by a plurality of target vehicles at the same time, the information uploaded by the target vehicles is managed through the vehicle information, and the illegal behaviors of the vehicle are effectively supervised.
Based on the same inventive concept, referring to fig. 2, the embodiment of the present disclosure further provides a traffic supervision method, applied to a server, including the following steps:
a step S201 of receiving at least an image of a surrounding vehicle of a target vehicle and an image of a surrounding environment of the surrounding vehicle;
step S202, at least according to the images of the surrounding vehicles and the images of the surrounding environment, vehicles with illegal behaviors are supervised.
By the method, the server can supervise the vehicle with the illegal behaviors according to the received image and automatically archive the illegal evidence of the vehicle with the illegal behaviors, so that the centralized management of the illegal behaviors of the vehicle is realized.
Based on the same inventive concept, referring to fig. 3, an embodiment of the present disclosure further provides a traffic supervision apparatus 300, which may be implemented as part or all of a vehicle MCU (Micro Controller Unit) by software, hardware, or a combination of the two, where the traffic supervision apparatus 300 may include the following modules:
an image acquisition module 301 configured to acquire an image of a vehicle around the vehicle and an image of a surrounding environment of the vehicle;
a determining module 302, configured to determine whether there is an illegal activity in the surrounding vehicle according to at least the image of the surrounding vehicle and the image of the surrounding environment;
the uploading module 303 is configured to, when it is determined that the surrounding vehicle has the illegal action, upload at least the image of the surrounding vehicle and the image of the surrounding environment to a server, so that the server supervises the vehicle having the illegal action at least according to the image of the surrounding vehicle and the image of the surrounding environment.
Through above device, can realize the supervision to other vehicle illegal activities on every side through arbitrary vehicle on the road, when the vehicle had illegal activities, can provide omnidirectional illegal visual angle, realize in time, effectual supervision to vehicle illegal activities, and, when confirming that the vehicle had illegal activities, upload the vehicle image that will have illegal activities to the server through uploading module 303, be favorable to the automatic archive of illegal evidence, realize the centralized management to vehicle illegal activities.
Optionally, the apparatus 300 further comprises:
the first acquisition module is used for acquiring the position information of the target vehicle;
the determining module 302 is configured to determine whether there is illegal activity in the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment, and the location information;
the uploading module 303 is configured to upload the image of the surrounding vehicle, the image of the surrounding environment, and the location information to the server when it is determined that the illegal behavior exists in the surrounding vehicle, so that the server supervises the vehicle in which the illegal behavior exists according to the image of the surrounding vehicle, the image of the surrounding environment, and the location information.
Through the device, the position information of the target vehicle can be acquired, and the specific position of the illegal behavior of the vehicle is determined, so that the illegal behavior of the vehicle can be effectively supervised.
Optionally, the apparatus 300 further comprises:
the second acquisition module is used for acquiring the time information recorded by the target vehicle;
the determining module 302 is configured to determine whether there is illegal activity in the surrounding vehicle according to the image of the surrounding vehicle, the image of the surrounding environment, the location information, and the time information;
the uploading module 303 is configured to, when it is determined that the peripheral vehicle has an illegal behavior, upload the image of the peripheral vehicle, the image of the surrounding environment, the location information, and the time information to the server, so that the server supervises the vehicle having the illegal behavior according to the image of the peripheral vehicle, the image of the surrounding environment, the location information, and the time information.
Through the device, whether the vehicle has the illegal action can be accurately determined by combining the image, the position information of the target vehicle and the recorded time and information, and the occurrence time of the illegal action of the vehicle can be further determined, so that the illegal action of the vehicle can be effectively supervised.
Optionally, the apparatus 300 further comprises:
the third acquisition module is used for acquiring the vehicle information of the target vehicle;
the uploading module 303 is configured to upload the image of the surrounding vehicle, the image of the surrounding environment, and the vehicle information to the server.
Through the device, the vehicle information of the target vehicle can be acquired, so that when a plurality of target vehicles shoot illegal behaviors of a certain vehicle at the same time, the information uploaded by the target vehicles is managed through the vehicle information, and the illegal behaviors of the vehicle are effectively supervised.
Optionally, the image acquiring module 301 is configured to acquire an image of vehicles around the target vehicle and an image of the surroundings of the surrounding vehicle when it is detected that a vehicle exists around the target vehicle.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Based on the same inventive concept, referring to fig. 4, an embodiment of the present disclosure further provides a traffic supervision apparatus 400, applied to a server, where the traffic supervision apparatus 400 includes:
a receiving module 401 for receiving at least an image of a surrounding vehicle of a target vehicle and an image of the surroundings of the surrounding vehicle;
a supervision module 402 for supervising a vehicle in which an illegal activity exists at least according to the image of the surrounding vehicle and the image of the surrounding environment.
It should be noted that, in an exemplary embodiment, the traffic supervision apparatus 400 may be provided as a server, and may form a traffic supervision system with the traffic supervision apparatus 300, the beidou satellite navigation system, the communication network, and other possible components in the embodiments of the present disclosure.
Referring to fig. 5, the traffic supervision system may include: the Beidou satellite navigation system 501, the traffic supervision device 502, the communication network 503 and the server 504, wherein the traffic supervision device 502 comprises a vehicle-mounted shooting module 5021 and a vehicle-mounted control module 5022.
A Beidou satellite navigation system 501 for providing position information for a target vehicle;
the onboard photographing module 5021 may be provided as a camera provided on a target vehicle, etc., which are not limited by the disclosed embodiment, and is used to acquire an image of a surrounding vehicle of the target vehicle and transmit the image to the onboard control module 5022.
The vehicle-mounted control module 5022 may be provided as an MCU on the target vehicle, etc., and the embodiment of the present disclosure is not limited thereto, and is configured to receive the image sent by the vehicle-mounted shooting module 5021, determine whether there is an illegal action on the surrounding vehicle according to the image, the position information provided by the beidou satellite navigation system 501, and the implementation information recorded by the target vehicle, and upload the image, the position information, and the time information to the server 504 through the communication network 503 when it is determined that there is an illegal action on the surrounding vehicle.
The server 504 is configured to receive the image, the location information, and the time information sent by the vehicle-mounted control module 5022, determine vehicle information, illegal time, illegal road segments, and specific illegal activities of surrounding vehicles according to the image, the location information, and the time information, and archive all relevant information, so as to implement supervision of a vehicle with illegal activities, for example, send prompt information including the illegal activities to a vehicle with illegal activities. And so on.
Through the traffic supervision system, the supervision of other vehicle illegal behaviors around can be realized through any vehicle on the road, and when the vehicle has illegal behaviors, an omnidirectional illegal visual angle can be provided, so that the timely and effective supervision of the vehicle illegal behaviors is realized.
Based on the same inventive concept, the disclosed embodiments also provide a computer-readable storage medium, on which computer program instructions are stored, which when executed by a processor implement the steps of any of the above-mentioned traffic supervision methods.
Through the computer readable storage medium, the illegal behaviors of other surrounding vehicles can be supervised by any vehicle on the road, and when the illegal behaviors exist in the vehicle, an omnibearing illegal visual angle can be provided, so that the illegal behaviors of the vehicle can be timely and effectively supervised.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A traffic supervision method, applied to a vehicle, comprising:
the method comprises the steps that real-time video shooting is conducted on surrounding vehicles and surrounding environments of the surrounding vehicles through a camera arranged on a target vehicle, and then dynamic images of the surrounding vehicles of the target vehicle and dynamic images of the surrounding environments of the surrounding vehicles are obtained from frame images of the video;
acquiring position information of the target vehicle;
determining whether the surrounding vehicle has suspected illegal behaviors according to the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the position information and the time information recorded by the target vehicle;
when the surrounding vehicle is determined to have suspected illegal behaviors, uploading at least the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the position information and the time information recorded by the target vehicle to a server, so that the server determines the position information of the surrounding vehicle at least according to the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment and the position information; and the number of the first and second electrodes,
and determining whether the surrounding vehicle has illegal behaviors according to the dynamic images of the surrounding vehicle, the dynamic images of the surrounding environment, the position information of the surrounding vehicle and the time information recorded by the target vehicle, and sending prompt information to a driver of the vehicle with illegal behaviors when the surrounding vehicle is determined to have illegal behaviors.
2. The method of claim 1, further comprising:
acquiring vehicle information of the target vehicle;
the uploading of at least the dynamic image of the surrounding vehicle and the dynamic image of the surrounding environment to a server includes:
uploading the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the location information, the time information recorded by the target vehicle, and the vehicle information to the server.
3. The method of claim 1, wherein obtaining a dynamic image of a surrounding vehicle of a target vehicle and a dynamic image of a surrounding environment of the surrounding vehicle comprises:
when it is detected that a vehicle exists around the target vehicle, a dynamic image of a surrounding vehicle of the target vehicle and a dynamic image of a surrounding environment of the surrounding vehicle are acquired.
4. A traffic supervision method is applied to a server and comprises the following steps:
receiving at least a dynamic image of a surrounding vehicle of a target vehicle, a dynamic image of a surrounding environment of the surrounding vehicle, location information of the target vehicle, and time information recorded by the target vehicle;
and determining whether the surrounding vehicle has illegal behaviors at least according to the dynamic images of the surrounding vehicle, the dynamic images of the surrounding environment, the position information and the time information recorded by the target vehicle, and sending prompt information to a driver of the vehicle with illegal behaviors under the condition that the surrounding vehicle is determined to have illegal behaviors.
5. A traffic supervision device, applied to a vehicle, comprising:
the system comprises an image acquisition module, a video processing module and a video processing module, wherein the image acquisition module is used for carrying out real-time video shooting on surrounding vehicles and surrounding environments of the surrounding vehicles through a camera arranged on a target vehicle, and then acquiring dynamic images of the surrounding vehicles of the target vehicle and dynamic images of the surrounding environments of the surrounding vehicles from frame images of the video;
the first acquisition module is used for acquiring the position information of the target vehicle;
a determination module, configured to determine whether the surrounding vehicle has a suspected illegal act at least according to the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the location information, and the time information recorded by the target vehicle;
the uploading module is used for uploading at least the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the position information and the time information recorded by the target vehicle to a server when the surrounding vehicle is determined to have suspected illegal behaviors, so that the server determines the position information of the surrounding vehicle according to the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment and the position information; and the number of the first and second electrodes,
and determining whether the surrounding vehicle has illegal behaviors according to the dynamic images of the surrounding vehicle, the dynamic images of the surrounding environment, the position information of the surrounding vehicle and the time information recorded by the target vehicle, and sending prompt information to a driver of the vehicle with illegal behaviors when the surrounding vehicle is determined to have illegal behaviors.
6. The apparatus of claim 5, further comprising:
the third acquisition module is used for acquiring the vehicle information of the target vehicle;
the uploading module is used for uploading the dynamic images of the surrounding vehicles, the dynamic images of the surrounding environment, the position information, the time information recorded by the target vehicle and the vehicle information to the server.
7. The apparatus of claim 5, wherein the image acquisition module is configured to acquire a dynamic image of vehicles around the target vehicle and a dynamic image of a surrounding environment of the surrounding vehicle when it is detected that a vehicle exists around the target vehicle.
8. A traffic supervision device applied to a server comprises:
a receiving module for receiving at least a dynamic image of a surrounding vehicle of a target vehicle, a dynamic image of a surrounding environment of the surrounding vehicle, and position information of the target vehicle and time information recorded by the target vehicle;
a supervision module for determining location information of the surrounding vehicle at least from the dynamic image of the surrounding vehicle, the dynamic image of the surrounding environment, the location information; and the number of the first and second electrodes,
and determining whether the surrounding vehicle has illegal behaviors at least according to the dynamic images of the surrounding vehicle, the dynamic images of the surrounding environment, the position information of the surrounding vehicle and the time information recorded by the target vehicle, and sending prompt information to a driver of the vehicle with illegal behaviors when the surrounding vehicle is determined to have illegal behaviors.
9. A computer-readable storage medium, on which computer program instructions are stored, which program instructions, when executed by a processor, carry out the steps of the method according to any one of claims 1 to 4.
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