WO2022247931A1

WO2022247931A1 - Method and system for identifying illegal traffic participant, and computer-readable storage medium

Info

Publication number: WO2022247931A1
Application number: PCT/CN2022/095590
Authority: WO
Inventors: 房颜明; 李智; 孟令钊; 董航; 时兵兵
Original assignee: 北京万集科技股份有限公司
Priority date: 2021-05-27
Filing date: 2022-05-27
Publication date: 2022-12-01

Abstract

A method and system for identifying an illegal traffic participant, and a computer-readable storage medium. The method comprises: obtaining sensing information of a first sensing device at an entrance of a scene and sensing information of a second sensing device in the scene (S301); capturing a snapshot of a target traffic participant on the basis of the sensing information of the first sensing device to obtain identity information thereof (S302); obtaining participant feature information of the target traffic participant according to the sensing information of the first sensing device (S303), and binding the identity information and the participant feature information (S304), so as to obtain binding information and record the binding information in a traffic participant search set (S305); obtaining sensing information of the second sensing device in the scene (S306); identifying an illegal traffic participant according to the sensing information of the second sensing device, so as to obtain participant feature information of the illegal traffic participant (S307); obtaining target binding information from the binding information of the traffic participant search set according to the participant feature information of the illegal traffic participant (S308); obtaining identity information of the illegal traffic participant on the basis of the target binding information (S309); and outputting the identity information of the illegal traffic participant and a corresponding illegal behavior (S310). By means of the method, traffic participants who violate regulations in the scene can be accurately identified.

Description

Method, system, and computer-readable storage medium for identifying traffic violation objects

Cross References to Related Applications

This disclosure requires the application on May 27, 2021, the application number is 202110586458X, and the name is "method, system and computer-readable storage medium for identifying illegal vehicles"; the application on May 27, 2021, the application number is 202110587444X , the priority of the Chinese patent application titled "Method, system and computer-readable storage medium for identifying objects involved in traffic violations".

technical field

The present disclosure relates generally to the field of intelligent traffic management. More specifically, the present disclosure relates to a method, system and computer-readable storage medium for identifying traffic violation objects.

Background technique

The current intelligent traffic management involves the automatic identification of traffic objects such as people, vehicles and roads, and the automatic detection of illegal behaviors. Through automatic identification and detection, key traffic management objectives can be intelligently analyzed, thereby improving traffic efficiency and optimizing traffic order. However, there are currently no good management solutions for places such as tunnels, service areas where vehicles are parked, etc. In particular, there is currently no effective detection or notification scheme for various violations of vehicles driving in the tunnel and in the service area. Therefore, how to accurately judge and timely notify the vehicle violations in the above-mentioned similar places has become a problem to be solved by the current vehicle management.

Contents of the invention

202110586458X In order to at least solve the technical problems described in the background technology section above, this disclosure proposes a solution for identifying violating vehicles in scenarios such as tunnels. By using the solution disclosed in the present disclosure, vehicles violating tunnel driving regulations can be effectively determined, thereby helping to improve efficient and safe passage in tunnels, and expanding the application scenarios of intelligent traffic management. In view of this, the present disclosure provides solutions in the following aspects.

In the first aspect, the present disclosure provides a method for identifying violating vehicles, including: acquiring the sensing information of a first sensing device at the entrance of a tunnel; taking a snapshot of the target vehicle based on the sensing information of the first sensing device to obtain the The identity information of the target vehicle, wherein the target vehicle is a vehicle entering the tunnel; the object characteristic information of the target vehicle is acquired according to the sensing information of the first sensing device; the identity information of the target vehicle and The corresponding object feature information is bound to obtain the binding information of the target vehicle, and the binding information of the target vehicle is recorded in the vehicle search set; the sensing information of the second sensing device in the tunnel is obtained; according to the The speed information in the sensing information of the second sensing device identifies the violating vehicle, so as to obtain the object characteristic information of the violating vehicle; obtain the target binding from the binding information of the vehicle search set according to the object characteristic information of the violating vehicle obtain the identity information of the violating vehicle based on the target binding information; and output the identity information of the violating vehicle and the corresponding violation behavior.

In one of the embodiments, the capture position of the target vehicle includes a remote capture position and a near-end capture position, and the target vehicle is captured based on the sensing information of the first sensing device, so as to obtain the target vehicle's The identity information includes: selecting, based on the sensing information of the first sensing device, to capture the target vehicle at the far-end capture position or the near-end capture position, so as to obtain the identity information of the target vehicle.

In one embodiment, selecting to capture the target vehicle at the far-end capture position or the near-end capture position based on the sensing information of the first sensing device includes: acquiring based on the sensing information of the first sensing device First distance and size information of a vehicle located in front of the target vehicle in the capture direction, wherein the first distance includes a distance between the front of the target vehicle and the rear of the vehicle in front thereof; and according to the first The distance and size information is compared with a preset threshold to select to capture the target vehicle at the far-end capture position or the near-end capture position.

In one embodiment, selecting to capture the target vehicle at the far-end capture position or the near-end capture position according to the comparison between the first distance and size information and a preset threshold includes: responding to the first distance being less than The first preset threshold and the height of the vehicle in front is greater than the second preset threshold, select the near-end capture position to capture the target vehicle; in response to the first distance being greater than the first preset threshold, select the target vehicle The remote capture position is used to capture the target vehicle; or in response to the first distance being less than a first preset threshold and the height of the vehicle in front is less than a second preset threshold, selecting the remote capture position for the target vehicle Capture the target vehicle.

In one embodiment, capturing the target vehicle based on the sensing information of the first sensing device, so as to obtain the identity information of the target vehicle further includes: a capture and identification frame for capturing and identifying the target vehicle; and using the capture and identification frame to capture and identify the target vehicle at the capture position, so as to obtain identity information of the target vehicle.

In one of the embodiments, determining the capture identification frame according to the perception information and the capture position includes: acquiring a second distance between vehicles located in front of the target vehicle in the capture direction according to the perception information, wherein the The second distance includes a distance between the front of the target vehicle and the front of the vehicle in front thereof; and the snapshot recognition frame is determined based on the snapshot position and the second distance.

In one of the embodiments, identifying the violating vehicle according to the speed information in the sensing information of the second sensing device includes: in response to the speed information of the target vehicle indicating that the speed is equal to zero, identifying the target vehicle as a violating vehicle with a stagnation behavior in violation vehicle; or in response to the speed information of the target vehicle indicating that the speed is lower than the minimum speed limit, identifying the target vehicle as a violating vehicle with illegal slow-moving behavior; or in response to the speed information of the target vehicle indicating that the speed is higher than the maximum speed limit, The target vehicle is identified as a violating vehicle with speeding violations.

In one of the embodiments, the sensing information of the second sensing device further includes the location information of the violating vehicle, wherein outputting the identity information of the violating vehicle and the corresponding violation behavior includes: Violation information associated with one of the violation behavior, slow-moving behavior or speed violation behavior; and broadcast the violation information to the violation vehicle according to the location information of the violation vehicle.

In the second aspect, the present disclosure provides a system for identifying violating vehicles, including: a first sensing device arranged at the entrance of a tunnel for acquiring sensing information at the entrance of the tunnel; a capture device arranged at the entrance of the tunnel At the entrance of the tunnel, it is used to capture the target vehicle based on the sensing information of the first sensing device, so as to obtain the identity information of the target vehicle, wherein the target vehicle is a vehicle entering the tunnel; the second sensing device , which is arranged in the tunnel, and is used to obtain the sensing information in the tunnel; and an information processing center, which communicates with the first sensing device, the capture device, and the second sensing device, and It is configured to: acquire the sensing information of the first sensing device at the entrance of the tunnel; acquire the object characteristic information of the target vehicle according to the sensing information of the first sensing device; combine the identity information of the target vehicle with the corresponding object characteristic information Perform binding to obtain the binding information of the target vehicle, and record the binding information of the target vehicle in the vehicle search set; acquire the sensing information of the second sensing device in the tunnel; according to the second sensing device The speed information in the perception information of the violating vehicle is identified to obtain the object feature information of the violating vehicle; the target binding information is obtained from the binding information of the vehicle search set according to the object feature information of the violating vehicle; based on the Obtaining the identity information of the violating vehicle through the target binding information; and outputting the identity information of the violating vehicle and the corresponding violation behavior.

In one of the embodiments, the first sensing device includes a lidar and/or a camera. In one embodiment, the second sensing device includes a lidar and/or a camera. In one embodiment, the capture device includes a bayonet camera.

In a third aspect, the present disclosure provides a computer-readable storage medium, on which computer-readable instructions for identifying violating vehicles are stored. When the computer-readable instructions are executed by one or more processors, the first aspect is implemented. and the methods described in its various embodiments.

Utilizing the above solution of the present disclosure, it is possible to effectively identify illegal vehicles in the tunnel. Specifically, the present disclosure can accurately identify and store the information of the vehicle entering the tunnel by utilizing the perception information and the capture operation. Further, by sensing the vehicle again in the tunnel, the solution of the present disclosure can accurately identify the vehicle that violates the driving regulations in the tunnel. Therefore, the solution disclosed in the present disclosure promotes effective management and monitoring of vehicles traveling in the tunnel, and effectively discovers and promptly handles violators.

202110586458X

202110587444X In order to at least solve the technical problems described in the background technology section above, this disclosure proposes a scheme for identifying violating traffic participants. By using the solution disclosed in the present disclosure, traffic participants violating regulations can be effectively determined in some scenarios, thereby helping to realize efficient intelligent traffic management. In view of this, the present disclosure provides solutions in the following aspects.

In the first aspect, the present disclosure provides a method for identifying illegal traffic participation objects, including: acquiring the perception information of a first sensing device at the entrance of a scene; capturing a target traffic participation object based on the perception information of the first sensing device , to obtain the identity information of the target traffic participation object, wherein the target traffic participation object is a traffic participation object entering the scene; obtain the object characteristics of the target traffic participation object according to the perception information of the first sensing device information; bind the identity information of the target traffic participation object with the corresponding object feature information to obtain the binding information of the target traffic participation object, and record the binding information of the target traffic participation object in the traffic participation object Searching in the collection; obtaining the sensing information of the second sensing device in the scene; identifying the illegal traffic participating object according to the sensing information of the second sensing device, so as to obtain the object characteristic information of the illegal traffic participating object; according to the illegal The object feature information of the traffic participation object obtains target binding information from the binding information of the traffic participation object search set; obtains the identity information of the violation traffic participation object based on the target binding information; and outputs the violation traffic participation object identity information and corresponding violations.

In one of the embodiments, the scene includes a service area scene, and the illegal traffic participation object is a traffic participation object that violates service area regulations.

In one of the embodiments, the snapping position includes a far-end snapping position and a near-end snapping position, and the target traffic participating object is captured based on the sensing information of the first sensing device, so as to obtain the identity information of the target traffic participating object The method includes: selecting, based on the sensing information of the first sensing device, to capture the target traffic participant object at the far-end capture position or the near-end capture position, so as to obtain the identity information of the target traffic participant object.

In one embodiment, selecting to capture the target traffic participant object at the far-end capture position or the near-end capture position based on the perception information of the first sensing device includes: based on the perception of the first sensing device Information acquisition of the first distance and size information of the traffic participation object located in front of the target traffic participation object in the capture direction, wherein the first distance includes the distance between the front part of the target traffic participation object and the tail of the traffic participation object in front distance between them; and choose to capture the target traffic participating object at the far-end capture position or the near-end capture position according to the comparison between the first distance and size information and a preset threshold.

In one embodiment, selecting to capture the target traffic participating object at the far-end capture position or the near-end capture position according to the comparison between the first distance and size information and a preset threshold includes: responding to the first If the distance is less than a first preset threshold and the height of the preceding traffic participating object is greater than a second preset threshold, the near-end capture position is selected to capture the target traffic participating object; in response to the first distance being greater than the first A preset threshold, selecting the remote capture position to capture the target traffic participating object; or in response to the first distance being less than a first preset threshold and the height of the preceding traffic participating object being less than a second preset threshold , selecting the remote capture position to capture the target traffic participant.

In one of the embodiments, capturing the target traffic participating object based on the sensing information of the first sensing device, so as to obtain the identity information of the target traffic participating object further includes: determining according to the sensing information and the captured position A capture recognition frame for capturing and identifying the target traffic participation object; and using the capture recognition frame to capture and identify the target traffic participation object at the capture position, so as to obtain the target traffic participation The identity information of the object.

In one of the embodiments, determining the capture recognition frame according to the perception information and the capture position includes: obtaining the second position of the traffic participation object located in front of the target traffic participation object in the capture direction according to the perception information. distance, wherein the second distance includes the distance between the front part of the target traffic participating object and the front part of the traffic participating object in front thereof; the snapping identification frame is determined based on the snapping position and the second distance.

In one of the embodiments, identifying the violating traffic participating object according to the sensing information of the second sensing device includes: acquiring object feature information and position of the target traffic participating object in the scene according to the sensing information of the second sensing device information and speed information, wherein the object feature information includes at least category information; and in response to the speed information indicating that the speed of the target traffic participating object is zero and the category information of the target traffic participating object is consistent with the The category information of the preset area does not match, identifying the target traffic participating object as an illegal traffic participating object; or in response to the speed information indicating that the speed of the target traffic participating object is zero and the position of the target traffic participating object The information does not match the position of the preset area in the scene, and the target traffic participating object is identified as an illegal traffic participating object.

In one of the embodiments, outputting the identity information of the violation traffic participation object and the corresponding violation behavior includes: generating violation information associated with category information mismatch or location mismatch for the violation traffic participation object; The location information of the violation traffic participation object is used to broadcast the violation information to the violation traffic participation object in a directional manner.

In a second aspect, the present disclosure provides a system for identifying illegal traffic participants, including: a first sensing device, arranged at the entrance of a scene, for acquiring sensing information at the entrance of the scene; a capture device, arranged At the entrance of the scene, it is used to capture the target traffic participating object based on the sensing information of the first sensing device, so as to obtain the identity information of the target traffic participating object, wherein the target traffic participating object enters the The traffic participating objects of the scene; the second sensing device, which is arranged in the scene, and is used to obtain the sensing information in the scene; and an information processing center, which cooperates with the first sensing device, the capture device, and the The second sensing device is connected in communication, and is configured to: respectively obtain corresponding sensing information from the first sensing device and the second sensing device; obtain the target traffic participation object according to the sensing information of the first sensing device The object feature information of the target traffic participation object; bind the identity information of the target traffic participation object with the corresponding object feature information to obtain the binding information of the target traffic participation object, and record the binding information of the target traffic participation object in In the traffic participation object search set; according to the perception information of the second sensing device, identify the violation traffic participation object, so as to obtain the object feature information of the violation traffic participation object; according to the object feature information of the violation traffic participation object from the Obtain target binding information from the binding information of the traffic participation object search set; obtain identity information of the violation traffic participation object based on the target binding information; and output the identity information and corresponding violation behavior of the violation traffic participation object.

In one of the embodiments, the first sensing device and the second sensing device include a lidar and/or a camera. In one embodiment, the second sensing device includes a lidar and/or a camera. In one embodiment, the capture device includes a bayonet camera.

In a third aspect, the present disclosure provides a computer-readable storage medium, on which are stored computer-readable instructions for identifying objects involved in traffic violations. When the computer-readable instructions are executed by one or more processors, the The method described in one aspect and various embodiments thereof.

Utilizing the above solution of the present disclosure, it is possible to effectively identify the violating traffic participants in the scene. Specifically, the present disclosure can accurately identify and store information of traffic participants entering a scene by using perception information and snapping operations. Further, by re-perceiving the traffic participants in the scene, the solution of the present disclosure can accurately identify the traffic participants who violate the regulations in the scene. Therefore, the solution disclosed in the present disclosure promotes the effective management of traffic participants in the scene and effectively discovers and promptly handles violators.

202110587444X

Description of drawings

The description of the exemplary embodiments of the present disclosure, as well as other objects, features and advantages will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of the present disclosure are shown by way of illustration and not limitation, and the same or corresponding reference numerals indicate the same or corresponding parts, wherein:

FIG. 1 is an exemplary scene diagram schematically showing a scheme in which the present disclosure is applied for identifying an object involved in traffic violations;

Fig. 2 is another exemplary scene diagram schematically showing the scheme for identifying illegal traffic participating objects in which the present disclosure is applied;

FIG. 3 is a flowchart schematically showing a method for identifying illegal traffic participants according to an embodiment of the present disclosure;

FIG. 4 is another flow chart schematically showing a method for identifying illegal traffic participating objects according to an embodiment of the present disclosure;

Fig. 5 is a diagram schematically illustrating a capture operation according to an embodiment of the present disclosure;

Fig. 6 is a schematic block diagram schematically showing an object used for identifying traffic violations according to an embodiment of the present disclosure.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Apparently, the described embodiments are some of the embodiments of the present disclosure, but not all of them. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present disclosure.

It should be understood that the terms "first", "second", "third" and "fourth" in the claims, specification and drawings of the present disclosure are used to distinguish different objects, rather than to describe a specific order . The terms "comprising" and "comprises" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and/or components, but do not exclude one or more other features, integers , steps, operations, elements, components, and/or the presence or addition of collections thereof.

It should also be understood that the terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the present disclosure. As used in this disclosure and the claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise. It should be further understood that the term "and/or" used in the present disclosure and claims refers to any combination and all possible combinations of one or more of the associated listed items, and includes these combinations.

Specific embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

FIG. 1 is a diagram schematically illustrating an exemplary scenario 100 in which the scheme of the present disclosure for identifying violating traffic participation objects is applied. In the context of the present disclosure, the aforementioned scenarios may include various environments for parking traffic participating objects, such as various service areas on expressways, various parking lots (such as commercial or civilian), various traffic tunnels or bridges Culverts, etc. Based on this, it can be understood that the exemplary scenario shown in FIG. 1 is a tunnel scenario. Further, in the context of the present disclosure, the aforementioned traffic participation objects may be objects related to road activities/traffic activities, such as motor vehicles and/or non-motor vehicles.

As shown in FIG. 1 , according to the solution of the present disclosure, a first sensing device 101 may be provided at the entrance of the tunnel, which is configured to collect sensing information within its sensing coverage range. Depending on the sensing capabilities of the first sensing device, the aforementioned sensing coverage may cover an area within a certain distance around the tunnel entrance, so that vehicles entering and/or not entering the tunnel can be sensed. In one embodiment, the first sensing device may include a laser radar (shown as a dot in FIG. 1 ) and/or a camera. In the application scenario where the lidar and the camera are used together, the lidar and the camera can be used to obtain point cloud data and video data at the same time and in the same scene. When target detection is performed on point cloud data and video data respectively, and the detection results are fused, the initial fusion result can be obtained. When the target is a vehicle, the aforementioned initial fusion results may, for example, include various types of information about the vehicle (such as

vehicles

102 and 103 shown in FIG. 1 ), including but not limited to one or more of the following: Vehicle identity (ID) information, vehicle category information, vehicle location information, vehicle lane information, vehicle perception time information, vehicle size information, vehicle speed information, and the distance between the front and rear vehicles (as shown at 501 in Figure 5) , the distance between the front and the rear of the vehicle (as shown at 502 in FIG. 5 ) and/or vehicle image feature information.

Further, along the direction in which the vehicle enters the scene, that is, in this example, along the direction in which the vehicle enters the tunnel, a capture device 104 is provided within a certain distance behind the first sensing device and in front of the tunnel entrance, which is used to The sensing information of the sensing device 101 is used to capture the vehicle that is about to enter the tunnel, so as to obtain the identity information of the target vehicle (such as the license plate number of the vehicle). In the context of the present disclosure, the vehicle entering the tunnel is the target vehicle, and the solution of the present disclosure aims to monitor such one or more target vehicles, so as to determine the violating vehicle that violates the driving regulations in the tunnel. According to different implementation manners, the capture device of the present disclosure may be various types of cameras. As a preferred solution, the camera may be a bayonet camera.

After the first sensing device and the capture device respectively acquire information about the vehicle (or target vehicle), they can transmit the acquired information to the information processing center 105 of the present disclosure. In one embodiment, the information processing center here can be implemented as a computing unit or module, and is used to perform information processing (including fusion operations of various data) and optionally perform main control operations on various interconnected devices . In operation, the information processing center may acquire object feature information of the target vehicle, such as feature information of a vehicle entering a tunnel, according to the sensing information of the first sensing device. Further, the information processing center can bind the identity information of the target vehicle with the corresponding object feature information to obtain the binding information of the target vehicle, and record the binding information of the target vehicle in the vehicle search set. Taking the target vehicle as an example of a motor vehicle in a tunnel and its identity information as a license plate number, the binding operation performed by the information processing center may be to combine the license plate number with the specific characteristics of the motor vehicle (such as the model, color or category of the vehicle) binding, and record such binding information (similar to the mapping correspondence) in the vehicle lookup set, for example, in a dedicated database. Thus, the solution of the present disclosure establishes an effective way for vehicles entering the tunnel to conduct inquiries.

When the target vehicle (such as the vehicle 106 shown in FIG. 1 ) drives into the tunnel, in order to effectively determine the violating vehicle that violates the driving regulations in the tunnel, the solution of the present disclosure proposes to set the second sensing device 107 in the tunnel to realize the detection Sensing data collection of tunnels, which may include information about violating vehicles, such as speed information. In the context of the present disclosure, violations may include violations of driving regulations set for a tunnel. For example, a violation of tunnel regulations may involve the act of driving in a tunnel at an inappropriate driving speed. In one implementation scenario, in terms of sensing illegal vehicles in the tunnel, the second sensing device and the first sensing device of the present disclosure have the same processing capability, so the foregoing technical descriptions about the first sensing device are also applicable to the second sensing device. Sensing device.

Similarly, the second sensing device can also transmit the sensing information to the information processing center, so that it can obtain the object characteristic information of the violating vehicle, and obtain it from the binding information of the aforementioned vehicle search set according to the object characteristic information of the violating vehicle Target binding information. Then, the information processing center can obtain the identity information of the violating vehicle based on the target binding information. After determining the identity information of the violating vehicle, the information processing center can output the identity information of the violating vehicle and the corresponding violation behavior. According to different implementation manners, the output mode may be video display. In an implementation scenario, a plurality of large display screens (as shown by 108 in the figure) can be arranged in different sections of the tunnel (for example, hung on the inner wall of the tunnel), so that the information processing center can select the violating vehicle to pass by. A large display screen for display broadcast.

FIG. 2 is a diagram schematically illustrating yet another exemplary scenario 200 in which the scheme for identifying traffic violation participants of the present disclosure is applied. It can be understood that the exemplary scenario shown in FIG. 2 is a service area scenario. Further, in the context of the present disclosure, the aforementioned traffic participation objects may be objects related to road activities/traffic activities, such as motor vehicles and/or non-motor vehicles.

As shown in FIG. 2 , according to the solution of the present disclosure, a first sensing device 101 may be set at the entrance of the service area, which is configured to collect sensing information within its service coverage. In an implementation scenario, the first sensing device may include a laser radar (shown by a dot in FIG. 2 ) and/or a camera. In the application scenario where the lidar and the camera are used together, the lidar and the camera can be used to obtain point cloud data and video data at the same time and in the same scene. When target detection is performed on point cloud data and video data respectively, and the detection results are fused, the initial fusion result can be obtained. When the target is a traffic participant and the traffic participant is a vehicle, the aforementioned initial fusion result may, for example, include various types of information about the vehicle (such as

vehicles

102 and 103 shown in FIG. 2 ), including but not limited to one of the following One or more items: the identity (ID) information of the vehicle in the sensing area, the vehicle category information, the vehicle position information, the vehicle lane information, the vehicle perception time information, the vehicle size information, the vehicle speed information, the distance between the front vehicle (such as 501 in FIG. 5 ), the distance between the front and the rear of the vehicle (as shown at 502 in FIG. 5 ), and/or vehicle image feature information.

Further, along the direction of the traffic participation object entering the scene, that is, along the direction of the vehicle driving into the service area in this example, a capture device 104 is set within a certain distance behind the first sensing device, which is used to 101 perception information to capture the traffic participating objects entering the service area, so as to obtain the identity information of the target traffic participating objects (such as the license plate number of the vehicle). In the context of the present disclosure, the traffic participating objects entering the service area are also the target traffic participating objects, and the scheme of the present disclosure aims to monitor such one or more target traffic participating objects, so as to determine violations of service area regulations Objects involved in traffic violations. According to different implementations, the capture device of the present disclosure may be various types of cameras. As a preferred solution, the camera may be a bayonet camera.

After the first sensing device and the capture device respectively acquire information about the traffic participating object or the target traffic participating object, they can transmit the acquired information to the information processing center 105 of the present disclosure. Thereafter, the information processing center of the present disclosure may acquire object feature information of the target traffic participating object, such as feature information of vehicles entering the service area, according to the sensing information of the first sensing device. Further, the information processing center can bind the identity information of the target traffic participation object with the corresponding object feature information to obtain the binding information of the target traffic participation object, and record the binding information of the target traffic participation object in the traffic participation object Find in the collection. Taking the example where the target traffic participant is a motor vehicle in the service area and its identity information is the license plate number, the binding operation performed by the information processing center can be to combine the license plate number with the specific characteristics of the motor vehicle (such as the vehicle model, color or category), and record such binding information (similar to the mapping correspondence) in the traffic participation object lookup set, for example, stored in a dedicated database. Thus, the solution of the present disclosure establishes an effective way for the traffic participating objects (such as the vehicle in this example) entering the scene (such as the service area in this example) to conduct inquiries.

When the target traffic participation objects (such as the multiple vehicles shown in the lower part of Figure 2) park in the service area, in order to effectively determine the violating traffic participants who violate the parking regulations in the service area, the scheme of the present disclosure proposes to The second sensing device 107 is set in the service area of the entrance to realize the collection of sensing data in the service area, and the sensing data may include information about illegal traffic participants. In the context of the present disclosure, a violation may include behavior that violates the norms set for the scene. As far as service areas are concerned, violations of service area regulations may involve wrong stops. In one implementation scenario, in terms of sensing violating traffic participants in the service area, the second sensing device and the first sensing device of the present disclosure have the same processing capability, so the above technical description about the first sensing device is also applicable on the second sensing device.

Similarly, the second sensing device can also transmit the sensing information to the information processing center, so that it can obtain the object feature information of the violating traffic participating object, and search the set from the aforementioned traffic participating object according to the object feature information of the violating traffic participating object The target binding information is obtained from the binding information of the . Then, the information processing center can obtain the identity information of the object involved in the illegal traffic based on the target binding information. After determining the identity information of the violating traffic participant, the information processing center can output the identity information of the violating traffic participant and the corresponding violation behavior. According to different implementations, the input method may be voice announcement or video display, or a combination of both. In one scenario, multiple large display screens can be arranged in the service area, so that the information processing center can select a large display screen closest to the violating traffic participant to display and broadcast.

The solution of the present disclosure has been described above in conjunction with FIG. 1 and FIG. 2 . It can be understood that the above description is only exemplary and not restrictive. Changes may be made from the scenes shown without departing from the spirit and substance of the disclosure. For example, although the information processing center is shown in the figure as being separated from the first sensing device, the second sensing device and the capture device, in some scenarios, the information processing center may also be selected to be arranged close to one of the three, Thereby reducing the distance of data transmission and improving the stability of data transmission. Further, the information processing center can also be arranged at the remote end (such as the cloud). In this case, the identity information of the violating traffic participant and the violation information determined at the remote end can be sent to the broadcasting device in the scene, so as to promptly remind the violator (such as the car owner) to pay attention to and correct the violation.

Fig. 3 is a flow chart schematically showing a method 300 for identifying traffic violation participants according to an embodiment of the present disclosure. It can be understood that the method flow shown in FIG. 3 can be implemented in the exemplary tunnel scenario shown in FIG. 1 , so the content described in FIG. 1 (for example, about the sensing device) is also applicable to FIG. 3 .

As shown in FIG. 3 , at step S301 , the sensing information of a first sensing device (such as the first sensing device 101 in FIG. 1 ) at a tunnel entrance is acquired. As mentioned above, when the first sensing device is implemented as a lidar and a camera, the sensing information may include point cloud data and video data within the sensing range.

Next, at step S302, the target vehicle is captured based on the sensing information of the first sensing device, so as to obtain the identity information of the target vehicle. As mentioned above, the snapping action can be performed, for example, by the snapping device 104 shown in FIG. 1 . In order to achieve precise capture in order to obtain accurate identity information, this disclosure proposes to set the remote capture position and the near-end capture position, so that the target vehicle can be selected at the far-end capture position or the near-end capture position based on the perception information of the first sensing device. Take a snapshot. The specific capture operation will be described in detail later with reference to FIG. 5 .

After obtaining the identity information of the target vehicle, at step S303, the object feature information of the target vehicle can be obtained according to the sensing information of the first sensing device. As mentioned above, the object feature information may include, for example, ID, category, location, lane, distance between the head of the vehicle in front, distance between the rear of the vehicle in front and/or vehicle image feature information about the vehicle in the tunnel. Next, the process proceeds to step S304, where the identity information of the target vehicle is bound with the corresponding object feature information to obtain the binding information of the target vehicle, and at step S305, the binding information of the target vehicle is recorded in the vehicle Lookup in a collection (such as a database).

Next, at step S306, the sensing information of the second sensing device in the tunnel may be acquired. The second sensing device is, for example, the second sensing device 107 shown in FIG. 1 . In operation, the second sensing device performs sensing operation on the target vehicle in the tunnel, so as to obtain the sensing information of the target vehicle in the tunnel. Further, at step S307, the violating vehicle may be identified according to the speed information in the sensing information of the second sensing device, so as to obtain object characteristic information of the violating vehicle.

In order to identify the violating vehicle, in an implementation scenario, the speed information of the target vehicle in the tunnel may be acquired according to the sensing information of the second sensing device. Next, it is judged whether the target vehicle violates the driving regulations in the tunnel in response to the indication of the speed information. For example, when the speed of the target vehicle is zero, that is, the target vehicle stops driving in the tunnel, thereby potentially causing congestion and vehicle collision risks in the tunnel, the target vehicle is identified as a violating vehicle. Similarly, when the speed information of the target vehicle indicates that its speed is lower than the minimum speed limit or higher than the maximum speed limit, the target vehicle is correspondingly identified as a violating vehicle with illegal slow-moving or speeding.

After the violating vehicle is identified through the above-mentioned various methods and its object characteristic information is obtained, the process proceeds to step S308. At step S308, the target binding information may be obtained from the binding information of the vehicle search set updated in step S305 according to the object feature information of the violating vehicle. Next, at step S309, the identity information of the violating vehicle can be obtained based on the target binding information, so that at step S310, the identity information of the violating vehicle and the corresponding violation behavior can be output. In one embodiment, for the illegal vehicle generation and the illegal stagnation behavior (that is, the speed is zero), the illegal slow-moving behavior (that is, the speed is lower than the minimum speed limit) or the violation of the speeding behavior (that is, the speed is higher than the maximum speed limit) An associated violation information, and broadcast the violation information to the violation vehicle according to the location information of the violation vehicle, so that the violation vehicle can be effectively reminded and warned.

Fig. 4 is another flowchart schematically showing a method 400 for identifying traffic violation participants according to an embodiment of the present disclosure. It can be understood that the method flow shown in FIG. 4 can be implemented in the exemplary server scenario shown in FIG. 2 , so the content described in FIG. 2 (for example, about the sensing device) is also applicable to FIG. 4 .

As shown in FIG. 4 , at step S401 , the sensing information of a first sensing device (such as the first sensing device 101 in FIG. 2 ) at a scene entrance is acquired. As mentioned above, in an embodiment, the scenario may be a service area scenario.

Next, at step S402, a snapshot is taken of the target traffic participating object based on the sensing information of the first sensing device, so as to obtain identity information of the target traffic participating object. As mentioned above, the snapping action can be performed, for example, by the snapping device 104 shown in FIG. 2 . In order to achieve accurate snapshots in order to obtain accurate identity information, the present disclosure proposes to set the far-end capture position and the near-end capture position, so that the target traffic can be selected at the far-end capture position or the near-end capture position based on the sensing information of the first sensing device. Participating objects are captured. The specific capture operation will be described in detail later with reference to FIG. 5 .

After acquiring the identity information of the target traffic participating object, at step S403, the object feature information of the target traffic participating object may be acquired according to the sensing information of the first sensing device. As mentioned above, the object feature information may include, for example, ID, category, location, lane, distance between the head of the vehicle in front, distance between the rear of the vehicle in front and/or vehicle image feature information about the traffic participating objects in the scene. Next, the process proceeds to step S404, where the identity information of the target traffic participant object is bound with the corresponding object characteristic information to obtain the binding information of the target traffic participant object, and at step S405, the target traffic participant object’s Binding information is recorded in a traffic participation object lookup set (eg, a database).

Next, at step S406, the sensing information of the second sensing device in the scene may be acquired. The second sensing device is, for example, the second sensing device 107 shown in FIG. 2 . In operation, the second sensing device performs sensing operations on the target traffic participants in the scene, so as to obtain the sensing information of the target traffic participants in the scene. Further, at step S407, the violating traffic participating object may be identified according to the sensing information of the second sensing device, so as to obtain object characteristic information of the violating traffic participating object.

In order to identify illegal traffic participants, in an implementation scenario, the object characteristic information, position information and speed information of the target traffic participating objects in the scene can be acquired according to the perception information of the second sensing device, wherein the object characteristic information includes at least category information . Next, in response to the speed information indicating that the speed of the target traffic participating object is zero and the category information of the target traffic participating object does not match the category information of the preset area in the scene, the target traffic participating object is identified as an illegal traffic participating object. Taking the scene as the service area and the category information of the target traffic participant as a car as an example, when it parks in the parking area preset for parking trucks, the target traffic participant (that is, a car in this example) will It is judged to have violated the parking regulations in the service area, so it becomes the object of violation traffic participation in the context of this disclosure. Additionally or alternatively, in response to the speed information indicating that the speed of the target traffic participating object is zero and the position information of the target traffic participating object does not match the position of a preset area within the scene, identifying the target traffic participating object as an illegal traffic participating object . For example, when the location information in the perception information indicates that the location where the vehicle is parked is not the preset parking location in the service area. In other words, at this time the vehicle is parked in a non-parking area within the service area, such as a pedestrian passage or a fire exit, so it will also be judged as a traffic participant in violation.

After the violating traffic participant is identified through the above-mentioned various methods and thus the object feature information is obtained, the process proceeds to step S408. At step S408, the target binding information may be obtained from the binding information of the traffic participation object lookup set updated in step S405 according to the object characteristic information of the violation traffic participation object. Next, at step S409, the identity information of the violating traffic participant can be obtained based on the target binding information, so that at step S410, the identity information of the violating traffic participant and the corresponding violation behavior can be output. In one embodiment, violation information associated with category information mismatch or location mismatch may be generated for the violation traffic participation object. Then, according to the location information of the violating traffic participating object, the violating information can be directionally broadcast to the violating traffic participating object, so that the violating traffic participants can be effectively reminded and warned.

Fig. 5 is a diagram schematically illustrating an operation for performing a snapshot in a scene according to an embodiment of the present disclosure. For the convenience of description only, the following describes the capture operation of the present disclosure by taking a vehicle as an example of the traffic participation object.

As shown in FIG. 5, when a vehicle enters the scene, for example, when the

motor vehicles

102 and 103 in the figure drive into the service area or tunnel entrance, the present disclosure proposes to use the capture device 104 to capture it, so as to obtain the vehicle's Identity Information. In view of this, in order to identify the identity accurately, this disclosure proposes a far-end capture position and a near-end capture position for the capture position, and based on the perception information of the first sensing device (such as the first sensing device 101 in FIG. 1 or FIG. 2 ) Choose to capture the target traffic participation object at the far-end capture position (as indicated by the arrow 503 in Figure 5) or near-end capture position (as indicated by the arrow 504 in Figure 5), to obtain the identity information of the target traffic participation object . In one embodiment, the far-end snapping position and/or the near-end snapping position of the present disclosure also involves lane information of the lane on which the vehicle is driving.

In terms of selecting the far-end capture position or the near-end capture position, the present disclosure proposes to obtain the traffic participation object ( That is, the first spacing and size information of the vehicle 102 in this example), wherein the first spacing includes the distance between the front of the target traffic participating object and the rear of the preceding traffic participating object (that is, the spacing shown in 502 in the figure) . Then, according to the comparison between the first distance and size information and the preset threshold, the target traffic participating object can be captured at the far-end capture position or the near-end capture position. In other words, when the vehicle meets the requirements for capturing at the remote capturing position, when it enters the remote capturing position, the capturing device of the present disclosure is triggered to capture the vehicle. Similarly, when a vehicle meeting the near-end capture position is located at the near-end capture position, the capture device is triggered to capture the vehicle.

In an implementation manner, selecting to capture the target traffic participant object at the far-end capture position or the near-end capture position according to the comparison between the above-mentioned first distance and size information and the preset threshold includes: responding to the first distance being smaller than the first preset threshold and the height of the traffic participating object in front is greater than the second preset threshold, select the near-end capture position to capture the target traffic participating object. Contrary to the foregoing conditions, in response to the first distance being greater than the first preset threshold, a remote capture position may be selected to capture the target traffic participant object. Or, in response to the fact that the first distance is smaller than the first preset threshold and the height of the preceding traffic participating object is smaller than the second preset threshold, a remote capture position is selected to capture the target traffic participating object.

The capture operation of the present disclosure will be described below by taking the truck 103 in FIG. 5 as a specific capture object as an example. Before the truck 103 and the car 102 drive into the service area, they have already been sensed by the first sensing device at the entrance of the service area or tunnel, thereby obtaining sensing information including both. Then, for example, after the information processing center in Fig. 1 obtains the aforementioned perception information, it can determine the distance between the rear of the car (that is, the distance shown in 502 in the figure) and the height of the car (that is, the above-mentioned size) according to the perception information. information) to judge. When the distance between the rear of the car is less than the first preset threshold and the height of the car is greater than the second preset threshold, the information processing center can select the trigger position as the near-end capture position (as indicated by arrow 504 in FIG. 5 ).

The snapshot operation of the present disclosure has been described in detail above with reference to FIG. 5 . After determining the capture position, in order to accurately identify the identity information of the target traffic participant in the service area or tunnel, in one embodiment, the present disclosure also proposes to determine the target traffic participant based on the perception information and the capture position. Snapshot recognition frame for snapping and recognition. Thus, the capture recognition frame can be used at the capture position to capture and identify the target traffic participant, so as to obtain the identity information of the target traffic participant. In one embodiment, in order to determine the snapshot recognition frame, the present disclosure proposes to obtain the second distance of the traffic participation object located in front of the target traffic participation object in the capture direction according to the sensing information (ie, the sensing information collected by the first sensing device), Wherein the second distance includes the distance between the front part of the target traffic participating object and the front part of the traffic participating object in front thereof (that is, the distance shown in 501 in Figure 5), and then the snapping position can be determined based on the snapping position and the second distance The recognition frame is used to capture and recognize the vehicle. For example, the capture device can recognize the license plate of the vehicle according to the selected capture position (which includes lane information) and the determined capture recognition frame, so as to obtain the identity information of the vehicle. Therefore, the present disclosure provides effective identification of target traffic participants in the scene through the snapshot operation, thereby providing a good basis for subsequent binding and determination of violating traffic participants.

Fig. 6 is a schematic block diagram schematically showing a system 600 for identifying illegal traffic participating objects according to an embodiment of the present disclosure. It can be understood that the system shown in FIG. 6 is only an implementation of the solution of the present disclosure, and those skilled in the art may also think of making changes to the system 600 to adapt to different application scenarios according to the teaching of the present disclosure. Further, since FIG. 6 is a simplified illustration of the system shown in FIG. 1 and FIG. 2 , the description about FIG. 1 and FIG. 2 is also applicable to the description for FIG. 6 .

As shown in FIG. 6 , the system 600 includes a first sensing device 101 , a capture device 104 , a second sensing device 107 , an information processing center 105 and a violation reporting device 601 . As mentioned above, the first sensing device 101, the capture device 104, the second sensing device 107, and the information processing center 105 cooperate to determine the violating traffic participants in the scene, and the violating playback device (such as shown in FIG. 1 The large-screen display 108) is used to broadcast to the violating traffic participants, for example, to carry out directional broadcasting for the violating traffic participants, thereby reminding them to correct the violating operation in time.

Although the above describes the system architecture of the present disclosure in the form of multiple devices and information processing centers, in some implementation scenarios, the present disclosure may also be implemented using a modular design.

For example, the first sensing device and the second sensing device of the present disclosure can respectively constitute a scene entrance multi-source sensing module and a scene multi-source sensing module, both of which can sense traffic participants (such as vehicles) in the detection area in real time, thus obtaining Perception information about the vehicle, including but not limited to the vehicle's ID, category, location, lane, perception moment, size, speed information, distance between the head of the vehicle in front, distance between the rear of the vehicle in front and/or vehicle image feature information.

For another example, the capture and recognition operations of the present disclosure may also be implemented by triggering the position selection module, triggering the capture module and the license plate recognition module. Specifically, the trigger position selection module can make a judgment according to the distance between the rear of the front vehicle and the height of the front vehicle of the incoming vehicle perception information. When the distance between the rear of the vehicle is less than the preset threshold and the height of the front vehicle is greater than the preset threshold, the trigger position is selected as the near-end capture position; otherwise, the trigger area is selected as the far-end capture position. Additionally, the trigger position selection module can also update the perception information of the vehicle at the entrance of the scene, including the selected capture position.

Further, the above-mentioned trigger capture module can make a judgment based on the vehicle position of the incoming vehicle perception information. When the vehicle has just entered the trigger area, the trigger capture module can select the preset recognition frame position according to the distance between the front vehicle and the capture position of the incoming vehicle perception information. Then, the trigger capture module can send trigger capture information to the license plate recognition module, and the trigger capture information can include but not limited to the ID of the vehicle, the position of the identification frame, the lane, and the capture time. In response to receiving the trigger capture information, the license plate recognition module recognizes the license plate at the capture position according to the position of the recognition frame in the corresponding lane according to the lane information in the trigger capture information, and outputs it to the information processing center to obtain the identity information of the vehicle, The identity information may include, but is not limited to, the license plate number of the vehicle and trigger capture information.

For the binding operation, the present disclosure can also be provided with an identity information binding module, which is used to uniquely determine the entrance vehicle perception information according to the vehicle ID in the trigger capture information of the vehicle identity information, so as to complete the identification of the vehicle identity information and the entrance vehicle perception information. binding. Thus, vehicle fusion information can be formed through fusion, and the fusion information can include but not limited to ID, category, location, perception moment, size, speed information, license plate number and/or vehicle image feature information of the vehicle.

For the identification of illegal operations, the present disclosure may also be provided with a vehicle violation judging module, which can be used to judge according to the speed information in the aforementioned vehicle fusion information. For example, when the speed information indicates that the vehicle speed is 0, it can be determined that the vehicle has stopped driving in the tunnel in violation of regulations. For another example, when the speed information indicates that the driving speed of the vehicle is lower than the prescribed minimum speed limit, it can also be determined that the vehicle is a violating vehicle. It can also be used to judge according to the speed information in the aforementioned vehicle fusion information. For example, when the speed information indicates that the vehicle speed is 0, it may be determined whether the vehicle is in the parking area according to the preset parking area and combined with the location information in the fusion information. When the position of the vehicle is not within the parking area, it is judged as illegal parking. Further, it is also possible to determine whether the vehicle violates the regulations according to the preset parking area category and in combination with the category information in the fusion information. For example, when the position of the vehicle is in the parking area but the type of the vehicle does not match the type of the parking area, it can be determined that it does not park according to the type of vehicle and constitutes a violation. Based on this, the violation information for the violation vehicle can be formed, the violation information can include but not limited to vehicle ID, category, location, violation time, violation category, vehicle size, speed information, license plate number or vehicle image feature information.

In order to realize the search and broadcast of violating vehicles, the present disclosure can also be provided with an identity information search module and a broadcast module. In one embodiment, the identity information search module can match its own identity information in the vehicle fusion information according to the vehicle category, size, and vehicle image feature information in the aforementioned violation information, so as to form violation broadcast information, which may include but Not limited to the vehicle's ID, class, location, time of violation, category of violation, size, speed information and/or license plate number. Afterwards, the playback module can automatically select the nearest broadcast device or display a large screen to the violation vehicle according to the violation broadcast information and combined with the location information in the violation broadcast information, and broadcast the violation category according to the license plate number. For example, for a vehicle that parks illegally, you can choose the broadcasting device closest to the vehicle or display a large screen to play the violation message. For a vehicle traveling at a speeding or low speed, it is possible to instruct the broadcasting device on the tunnel section that the vehicle is about to pass through or display a large screen to broadcast its violation behavior, so as to remind the driver to correct its violation behavior in time.

It can be seen from the above description about the modular design of the present disclosure that the system of the present disclosure can be flexibly arranged according to application scenarios or requirements and is not limited to the architecture shown in the accompanying drawings. Further, it should also be understood that any module, unit, component, server, computer, or device performing operations of the examples of the present disclosure may include or otherwise access computer-readable media, such as storage media, computer storage media, or data storage devices (which may removable) and/or non-removable) such as magnetic disks, optical disks, or tapes. Computer storage media may include volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Based on this, the present disclosure also discloses a computer-readable storage medium, on which are stored computer-readable instructions for identifying illegal traffic participation objects. When the computer-readable instructions are executed by one or more processors, the preceding combination The methods and operations described in the figures.

As used in this specification and claims, the term "if" may be interpreted as "when" or "once" or "in response to determining" or "in response to detecting" depending on the context. Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be construed, depending on the context, to mean "once determined" or "in response to the determination" or "once detected [the described condition or event] ]” or “in response to detection of [described condition or event]”.

Although the embodiments of the present disclosure are as above, the content described is only an embodiment adopted for the convenience of understanding the present disclosure, and is not intended to limit the scope and application scenarios of the present disclosure. Anyone skilled in the technical field described in the present disclosure can make any modifications and changes in the form and details of the implementation without departing from the spirit and scope disclosed in the present disclosure, but the patent protection scope of the present disclosure , must still be subject to the scope defined by the appended claims.

Claims

A method for identifying illegal traffic participants, characterized in that it includes:

Obtain the perception information of the first perception device at the entrance of the scene;

taking a snapshot of a target traffic participant based on the sensing information of the first sensing device, to obtain identity information of the target traffic participant, wherein the target traffic participant is a traffic participant entering the scene;

Acquiring object feature information of the target traffic participating object according to the sensing information of the first sensing device;

Binding the identity information of the target traffic participation object with the corresponding object characteristic information to obtain the binding information of the target traffic participation object, and recording the binding information of the target traffic participation object in the traffic participation object search set middle;

Acquiring sensing information of a second sensing device in the scene;

Identifying illegal traffic participating objects according to the sensing information of the second sensing device, so as to obtain object characteristic information of the illegal traffic participating objects;

Obtain target binding information from the binding information of the traffic participation object lookup set according to the object characteristic information of the violation traffic participation object;

Obtaining the identity information of the violating traffic participant object based on the target binding information; and

Outputting the identity information of the violation traffic participant and the corresponding violation behavior.
The method according to claim 1, wherein the scene includes a service area scene or a tunnel scene, and the violation traffic participation object is a traffic participation object that violates service area regulations.
The method according to claim 1, wherein the snapping position includes a far-end snapping position and a near-end snapping position, and the target traffic participant object is snapped based on the sensing information of the first sensing device, so as to obtain the The identity information of the target traffic participants includes:

Selecting to capture the target traffic participating object at the far-end capture position or the near-end capture position based on the sensing information of the first sensing device, so as to obtain the identity information of the target traffic participating object.
The method according to claim 3, wherein selecting to capture the target traffic participating object at the far-end capture position or the near-end capture position based on the perception information of the first sensing device comprises:

Obtain the first distance and size information of the traffic participating object located in front of the target traffic participating object in the capture direction based on the sensing information of the first sensing device, wherein the first distance includes the front of the target traffic participating object the distance between the head and the tail of the traffic participating object in front of it; and

According to the comparison between the first distance and size information and a preset threshold, the target traffic participating object is selected to be captured at the far-end capture position or the near-end capture position.
The method according to claim 4, wherein, according to the comparison between the first distance and size information and a preset threshold, selecting to capture the target traffic participation object at the far-end capture position or the near-end capture position comprises:

In response to the first distance being less than a first preset threshold and the height of the preceding traffic participating object being greater than a second preset threshold, selecting the near-end capture position to capture the target traffic participating object;

In response to the first distance being greater than a first preset threshold, selecting the remote capture position to capture the target traffic participant object; or

In response to the first distance being smaller than a first preset threshold and the height of the preceding traffic participating object being smaller than a second preset threshold, the remote capture position is selected to capture the target traffic participating object.
The method according to claim 3, wherein capturing the target traffic participation object based on the perception information of the first sensing device, so as to obtain the identity information of the target traffic participation object further comprises:

determining a capture recognition frame for capturing and identifying the target traffic participant object according to the perception information and the capture position; and

The target traffic participant object is captured and identified by using the snapshot identification frame at the snapshot position, so as to obtain the identity information of the target traffic participant object.
The method according to claim 6, wherein determining the capture recognition frame according to the perception information and the capture position comprises:

Obtain the second distance between the traffic participating object located in front of the target traffic participating object in the capture direction according to the perception information, wherein the second distance includes the front part of the target traffic participating object and the front part of the traffic participating object in front of it. the distance between parts; and

The snapping identification frame is determined based on the snapping position and the second distance.
The method according to claim 1, wherein the scene is a service area scene, and identifying illegal traffic participation objects according to the sensing information of the second sensing device includes:

Acquiring object feature information, position information and speed information of target traffic participating objects in the scene according to the sensing information of the second sensing device, wherein the object feature information includes at least category information;

Responding to the speed information indicating that the speed of the target traffic participating object is zero and the category information of the target traffic participating object does not match the category information of a preset area in the scene, identifying the target traffic participating object Participate in traffic violations; or

identifying the target traffic participating object as Objects involved in traffic violations.
The method according to claim 8, wherein outputting the identity information of the violation traffic participation object and the corresponding violation behavior comprises:

generating violation information associated with category information mismatch or location mismatch for the violation traffic participation object; and

The violation information is directionally broadcasted to the violation traffic participation object according to the position information of the violation traffic participation object.
The method according to claim 1, wherein the scene is a tunnel scene, and identifying the illegal traffic participation object according to the speed information in the sensing information of the second sensing device includes:

Responsive to the speed information of the target traffic participating object indicating that the speed is equal to zero, identifying the target traffic participating object as an illegal traffic participating object having a stagnation violation behavior; or

Responding to the speed information of the target traffic participating object indicating that the speed is lower than the minimum speed limit, identifying the target traffic participating object as an illegal traffic participating object that has an illegal slow-moving behavior; or

In response to the speed information of the target traffic participating object indicating that the speed is higher than the maximum speed limit, the target traffic participating object is identified as a traffic participating object that violates the speeding behavior.
The method according to claim 10, wherein the sensing information of the second sensing device further includes the location information of the illegal traffic participating object, wherein the identity information of the illegal traffic participating object and the corresponding violation behavior are output include:

Generate violation information associated with one of the illegal stagnation behavior, illegal slow-moving behavior or illegal speeding behavior for the illegal traffic participation object; and

broadcasting the violation information to the violation traffic participation object according to the location information of the violation traffic participation object.
A system for identifying illegal traffic participants, characterized in that it includes:

A first sensing device, which is arranged at the entrance of the scene, and is used to acquire the sensing information at the entrance of the scene;

A capture device, which is arranged at the entrance of the scene, and is used to capture the target traffic participant object based on the perception information of the first sensing device, so as to obtain the identity information of the target traffic participant object, wherein the target traffic participant The object is a traffic participant entering the scene;

A second sensing device, which is arranged in the scene and used to acquire sensing information in the scene; and

An information processing center, which communicates with the first sensing device, the capture device, and the second sensing device, and is configured to:

Obtain corresponding sensing information from the first sensing device and the second sensing device respectively;

Acquiring object feature information of the target traffic participating object according to the sensing information of the first sensing device;

Binding the identity information of the target traffic participation object with the corresponding object characteristic information to obtain the binding information of the target traffic participation object, and recording the binding information of the target traffic participation object in the traffic participation object search set middle;

Identifying illegal traffic participating objects according to the sensing information of the second sensing device, so as to obtain object characteristic information of the illegal traffic participating objects;

Obtain target binding information from the binding information of the traffic participation object lookup set according to the object characteristic information of the violation traffic participation object;

Obtaining the identity information of the violating traffic participant object based on the target binding information; and

Outputting the identity information of the violation traffic participant and the corresponding violation behavior.
The system according to claim 12, wherein the first sensing device comprises a lidar and/or a camera.
The system according to claim 12, wherein the capturing device comprises a bayonet camera.
The system according to claim 12, wherein the second sensing device comprises a lidar and/or a camera.
A computer-readable storage medium, on which computer-readable instructions for identifying illegal traffic participation objects are stored. When the computer-readable instructions are executed by one or more processors, the computer-readable instructions described in any one of claims 1-11 can be realized. described method.