Road condition video broadcasting method and system and vehicle

Abstract

The invention provides a road condition video broadcasting method and system and a vehicle. The road condition video broadcasting method comprises the following steps: if a specified event occurs on a road, determining a first target vehicle capable of performing video acquisition on the road condition of an event site according to the event site; controlling at least one first target vehicle to acquire a road condition video of the event site to obtain a preliminary road condition video; fusing the preliminary road condition videos to obtain a final road condition video; and pushing the final road condition video to a second target vehicle which needs to know the road condition of the event site. According to the invention, the user of the vehicle can obtain the road condition information more intuitively and comprehensively.

Description

Technical Field

[0001] The present application relates to the technical field of road condition broadcasting, and in particular to a road condition video broadcasting method, system and vehicle. Background Art

[0002] When some special road conditions occur, such as congestion, traffic accidents, etc., users of vehicles behind can obtain timely information about the incident through navigation, but there is no clear information about the specific incident and its severity. In order to improve the intuitiveness and comprehensiveness of the information obtained by the driver, this solution is proposed. Summary of the invention

[0003] The present application provides a road condition video broadcast method, system and vehicle, so that users can obtain road condition information intuitively and comprehensively.

[0004] The present application provides a method for broadcasting traffic video, including:

[0005] If a designated event occurs on the road, a first target vehicle is determined based on the event location for video acquisition of the road conditions at the event location;

[0006] Controlling at least one first target vehicle to collect a road condition video of the event location to obtain a preliminary road condition video;

[0007] The preliminary traffic condition videos are integrated to obtain the final traffic condition video;

[0008] The final road condition video is pushed to a second target vehicle that needs to know the road condition at the event location.

[0009] Optionally, the fusing the preliminary traffic condition video to obtain a final traffic condition video includes:

[0010] Determining, according to the positions of the plurality of first target vehicles, an overlapping area between the plurality of preliminary road condition videos collected by the plurality of first target vehicles;

[0011] According to the overlapping area, a plurality of the preliminary traffic condition videos are spliced ​​into the final traffic condition video.

[0012] Optionally, determining, according to the positions of the plurality of first target vehicles, an overlapping area between the plurality of preliminary road condition videos collected by the plurality of first target vehicles comprises:

[0013] Projecting the video images at the same time in the plurality of preliminary traffic condition videos onto a standard coordinate system in the same projection manner;

[0014] The overlapping portion of the video images in the standard coordinate system is determined as the overlapping area.

[0015] Optionally, the projection method includes plane projection, cylindrical projection, spherical projection, and cubic projection;

[0016] The step of determining the overlapping portion of the video images in the standard coordinate system as the overlapping area includes:

[0017] For each projection mode, multiple video images are projected into a standard coordinate system to obtain the overlapping parts corresponding to the projection mode;

[0018] The plurality of overlapping portions are determined as the overlapping area.

[0019] Optionally, determining the overlapping portion of the video images in the standard coordinate system as the overlapping area includes:

[0020] For each projection parameter, multiple video images are projected onto a standard coordinate system according to the projection parameter to obtain an overlapping portion corresponding to the projection parameter; the projection parameter includes a focal length and a field of view angle;

[0021] The plurality of overlapping portions are determined as the overlapping area.

[0022] Optionally, stitching the plurality of preliminary traffic condition videos into the final traffic condition video according to the overlapping area includes:

[0023] Determining video images of the same moment of a plurality of the preliminary traffic condition videos as images to be sorted;

[0024] Sorting the images to be sorted according to the spatial positions represented by the images to be sorted to obtain sorted images;

[0025] In the sorted images, based on two adjacent video images, an image interpolation algorithm is used to estimate the uncollected road condition video;

[0026] The uncollected traffic condition video is spliced ​​with the preliminary traffic condition video to form the final traffic condition video.

[0027] Optionally, if a designated event occurs on the road, determining, according to the event location, a first target vehicle for capturing a video of the road condition at the event location includes:

[0028] If a designated event occurs on a road, a video acquisition request message is sent to vehicles equipped with a road condition video broadcasting system within a preset radius with the center point of the event location as the center;

[0029] The vehicle that agrees to the video acquisition request is determined as the first target vehicle.

[0030] Optionally, determining the vehicle that agrees to the video acquisition request as the first target vehicle includes:

[0031] According to the distance between the vehicle and the event location, the vehicles that agree to the video collection request are determined as the first target vehicles in order from near to far;

[0032] The controlling at least one first target vehicle to collect a road condition video of the event location to obtain a preliminary road condition video includes:

[0033] According to the determined order of the first target vehicles, the first target vehicles are controlled in turn to collect the road condition video of the event location to obtain a preliminary road condition video.

[0034] Optionally, after pushing the final traffic condition video to a second target vehicle that needs to know the traffic condition of the event location, the traffic condition video broadcasting method further includes:

[0035] The designated event includes a congestion event; determining the transit time required for the second target vehicle to pass through the event location according to the congestion level of the event location represented by the final traffic video; if the transit time exceeds a time threshold, replanning the driving route of the second target vehicle; and / or

[0036] The designated event includes a traffic accident event; and a reminder signal is sent to the user of the second target vehicle to guide the user to help deal with the traffic accident.

[0037] The present application provides a traffic video broadcast system, comprising one or more processors, for implementing any of the traffic video broadcast methods described above.

[0038] The present application also provides a vehicle, comprising the road condition video broadcasting system as described in the commercial.

[0039] In some embodiments, if a designated event occurs on the road, a first target vehicle that can capture video of the road condition at the event location is determined based on the event location, and the first target vehicle may be located at different locations of the event location; at least one first target vehicle is controlled to capture a road condition video at the event location to obtain a preliminary road condition video, which can represent video information from some angles of the designated event; a final road condition video is obtained by fusing the preliminary road condition videos, which contains information from the preliminary road condition videos and is more comprehensive video information of the designated event; the final road condition video is pushed to a second target vehicle that needs to know the road condition at the event location, and the second target vehicle can obtain more comprehensive and intuitive video information of the designated event by viewing the final road condition video, thereby increasing understanding of the road condition and helping the driver make more reasonable decisions.

[0040] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0042] Figure 1 Shown is a flow chart of an embodiment of the traffic video broadcasting method of the present application.

[0043] Figure 2 Shown is a schematic diagram of an embodiment of the preset radius distance of the present application.

[0044] Figure 3 Shown is a structural block diagram of an embodiment of the traffic video broadcasting system of the present application. DETAILED DESCRIPTION

[0045] The present application provides a method, system and vehicle for broadcasting video of road conditions. The method, system and vehicle for broadcasting video of road conditions of the present application are described in detail below in conjunction with the accompanying drawings. The features of the following embodiments and implementations can be combined with each other without conflict.

[0046] Figure 1 FIG. 1 is a flow chart of an embodiment of a method 10 for broadcasting traffic video according to the present application. Figure 1 As shown,

[0047] The traffic video broadcasting method 10 includes: steps 11 to 14.

[0048] Step 11: If a designated event occurs on the road, a first target vehicle is determined based on the event location for video acquisition of the road conditions at the event location.

[0049] Designated events include traffic accidents, road construction, abnormal congestion, etc. When a designated event occurs, quickly and accurately obtaining real-time video information of the event location is crucial for rapid response, decision-making and traffic diversion. Therefore, it is necessary to automatically determine the first target vehicle that can capture video of the road conditions at the location based on the event location. For vehicles that can capture video of the road conditions at the event location, based on the event location, vehicles within a certain range around the event location are screened out as candidate vehicles. Among the candidate vehicles, the vehicles can be sorted according to a series of priority criteria to determine the first target vehicle. For example, the distance between the vehicle and the event location, the viewing angle of the vehicle, the clarity and stability of the camera installed on the vehicle, and the quality of the vehicle's network connection.

[0050] Due to the mobility of vehicles, it is necessary to continuously monitor the position changes of candidate vehicles and dynamically adjust the first target vehicle based on new information.

[0051] Step 12: Control at least one first target vehicle to collect a road condition video of the event location to obtain a preliminary road condition video.

[0052] After the first target vehicle is determined, a video acquisition instruction can be sent to the first target vehicle through an on-board communication unit (such as OBU, T-Box), a mobile phone APP or other wireless communication methods.

[0053] After receiving the video acquisition instruction, the vehicle-mounted equipment (such as a driving recorder, a vehicle-mounted camera) of the first target vehicle is automatically or manually activated to start video acquisition of the event location.

[0054] The collected preliminary road condition video is transmitted in real time through the vehicle's communication system. In some embodiments, during the transmission process, compression technology is used to reduce the amount of data, and the transmission quality can also be monitored to ensure the continuity and stability of the video stream.

[0055] After receiving the preliminary traffic video, preliminary processing and verification are performed to ensure the integrity and accuracy of the video. Then, the video data of the preliminary traffic video will be stored for subsequent analysis, processing and display. In some embodiments, metadata such as the video acquisition time, location, vehicle information, etc. will also be recorded for tracing and querying.

[0056] In some embodiments, step 11 includes: if a designated event occurs on the road, a video acquisition request message is sent to vehicles equipped with a road condition video broadcasting system within a preset distance around the center point of the event location; and the vehicle that agrees to the video acquisition request is determined as the first target vehicle.

[0057] In some embodiments, the method of determining the vehicle that agrees to the video acquisition request as the first target vehicle includes: determining the vehicles that agree to the video acquisition request as the first target vehicle in sequence according to the distance between the vehicle and the event location, from near to far; step 12 includes: in accordance with the determination order of the first target vehicles, controlling the first target vehicles in sequence to collect road condition videos of the event location to obtain preliminary road condition videos.

[0058] Figure 2 The figure shows a schematic diagram of an embodiment of the preset radius distance of the present application, wherein point A is the center point of the event location, and vehicles B and C are vehicles within the preset radius distance.

[0059] First, determine the center point of the event location, and use it as the center of the circle to set the preset radius. The preset radius can be set in advance or determined according to the type of specified event. Send video acquisition request information to all vehicles equipped with road condition video broadcasting systems that enter the preset radius. The vehicle may be a private car, taxi, bus, etc.

[0060] After sending the video acquisition request, wait for the vehicle's response and determine the vehicle that agrees to perform video acquisition as the first target vehicle.

[0061] According to the distance between the vehicle and the incident location, the vehicles that agree to the video collection request are determined as the first target vehicles in order from near to far. Since vehicles closer to the incident location can usually arrive at the scene faster and their viewing angles may be closer to the core area of ​​the incident, they can provide more direct and detailed road condition information. According to the order in which the first target vehicles are determined, the first target vehicles are controlled in turn to collect road condition videos of the incident location, which can more effectively utilize resources and obtain high-quality preliminary road condition videos.

[0062] Step 13, integrating the preliminary traffic condition videos to obtain the final traffic condition video.

[0063] By integrating the preliminary traffic videos from different angles and locations, a comprehensive, coherent and easy-to-understand final traffic video can be formed. Before fusion, each preliminary traffic video is preprocessed. Preprocessing includes but is not limited to: denoising, stabilization, correction, etc.

[0064] Since the preliminary traffic condition videos may come from different vehicles and cameras, their perspectives, positions and focal lengths may be different. Therefore, it is necessary to align and splice the preliminary traffic condition videos, such as spatial alignment and temporal alignment. Use an appropriate fusion algorithm to combine the preliminary traffic condition videos into a final traffic condition video. The choice of fusion algorithm depends on the specific application scenario and requirements.

[0065] In some embodiments, step 13 further includes: post-processing and optimizing the final fused traffic video. For example, adjusting the overall hue and color saturation of the video to make it more natural and comfortable; adding appropriate special effects (such as annotations, arrows, text descriptions, etc.) as needed to more intuitively display road conditions and traffic information; compressing and encoding the video to reduce the demand for storage space and transmission bandwidth.

[0066] Step 14: Push the final road condition video to the second target vehicle that needs to know the road condition at the event location.

[0067] After the final traffic video is transmitted to the second target vehicle through the communication channel, the driver of the second target vehicle can receive and view the video content through the vehicle display, smart phone and other terminal devices. The driver can adjust the driving route and control the speed according to the traffic information in the video to avoid congestion and accidents. At the same time, user feedback can also be collected to continuously optimize the quality and efficiency of the traffic video push service.

[0068] In some embodiments, if a designated event occurs on the road, a first target vehicle that can capture video of the road condition at the event location is determined based on the event location, and the first target vehicle may be located at different locations of the event location; at least one first target vehicle is controlled to capture a road condition video at the event location to obtain a preliminary road condition video, which can represent video information from some angles of the designated event; a final road condition video is obtained by fusing the preliminary road condition videos, which contains information from the preliminary road condition videos and is more comprehensive video information of the designated event; the final road condition video is pushed to a second target vehicle that needs to know the road condition at the event location, and the second target vehicle can obtain more comprehensive and intuitive video information of the designated event by viewing the final road condition video, thereby increasing understanding of the road condition and helping the driver make more reasonable decisions.

[0069] In some embodiments, step 13 includes: step S1 and step S2.

[0070] Step S1, determining the overlapping area between the multiple preliminary road condition videos collected by the multiple first target vehicles according to the positions of the multiple first target vehicles.

[0071] Step S2: splicing the multiple preliminary traffic condition videos into a final traffic condition video according to the overlapping area.

[0072] First, it is necessary to obtain the real-time location information of all first target vehicles involved in video acquisition. This can be achieved through GPS or other positioning technologies. Based on the collected location information, the relative positions of the first target vehicles are analyzed, especially those that are close in position and may capture the same or similar road areas.

[0073] By comparing road features such as road markings, buildings, traffic signs, etc. in preliminary traffic condition videos taken by different vehicles, the overlapping areas between the preliminary traffic condition videos can be inferred.

[0074] According to the overlapping area determined in step S1, a suitable video stitching algorithm is selected. The video stitching algorithm includes a feature-based stitching algorithm, an optical flow-based stitching algorithm, or a deep learning-based stitching algorithm.

[0075] Using the selected stitching algorithm, multiple preliminary traffic videos are stitched together. During the stitching process, it is necessary to ensure the time synchronization and spatial alignment between the videos to reduce stitching artifacts and improve the coherence of the final video.

[0076] After the stitching is completed, the final traffic video is adjusted and optimized. For example, the brightness, contrast, color balance and other parameters of the video are adjusted, and possible stitching defects such as ghosting and blur are removed.

[0077] In some embodiments, step S1 includes: step S11 and step S12.

[0078] Step S11, projecting the video images of the same moment in the plurality of preliminary traffic condition videos onto a standard coordinate system in the same projection manner.

[0079] Step S12: determining the overlapping part of the video images in the standard coordinate system as the overlapping area.

[0080] The video images at the same moment are extracted from multiple preliminary traffic condition videos. Different video images reflect the road conditions at the same time point.

[0081] Projection methods include plane projection, cylindrical projection, spherical projection, and cube projection.

[0082] Select the same projection mode and project the video image into the standard coordinate system. During the projection process, the image may need to be scaled, rotated, translated, etc. to ensure that the road elements in the image, such as road markings, buildings, etc., maintain the correct relative position and shape in the standard coordinate system.

[0083] After all video images are projected onto the standard coordinate system, the overlapping parts between these video images are compared. The comparison of the overlapping parts can be achieved through image matching technology, such as feature point matching, template matching, etc. In this way, similar or identical feature elements in different video images are identified, and the spatial relationship between them is determined accordingly.

[0084] Based on the recognition results of the overlapping parts, the overlapping area between the video images is delineated. The overlapping area is the road part covered by multiple video images.

[0085] In order to improve the stitching effect, it may be necessary to optimize the boundaries of the overlapping areas, for example, removing stitching artifacts such as blurring and ghosting, and adjusting the pixel values ​​at the boundaries to achieve a smoother transition.

[0086] In some embodiments, step S12 includes: for each projection mode, projecting multiple video images to a standard coordinate system to obtain overlapping parts corresponding to the projection mode; and determining the multiple overlapping parts as overlapping areas.

[0087] For each projection method, projection is performed separately. Since multiple projection methods are used, each method may obtain a set of overlapping parts. Considering the spatial relationship, size, shape and other factors between different overlapping parts, these overlapping parts from different projection methods are integrated to form more comprehensive overlapping area information, so as to ensure that the final overlapping area is both accurate and comprehensive.

[0088] In other embodiments, step S12 includes: for each projection parameter, projecting multiple video images to a standard coordinate system according to the projection parameter to obtain overlapping parts corresponding to the projection parameter; the projection parameters include focal length and field of view angle; and determining multiple overlapping parts as overlapping areas.

[0089] For each projection parameter, projection is performed separately, so that multiple sets of overlapping parts can be obtained. These overlapping parts from different projection methods are integrated to form more comprehensive overlapping area information to ensure that the final overlapping area is both accurate and comprehensive.

[0090] In some embodiments, step S2 includes:

[0091] Determine video images of the same moment of multiple preliminary traffic condition videos as images to be sorted;

[0092] Sorting the images to be sorted according to the spatial positions represented by the images to be sorted to obtain sorted images;

[0093] In the sorted images, the uncollected road condition video is estimated based on two adjacent video images through an image interpolation algorithm;

[0094] The uncollected road condition video is spliced ​​with the preliminary road condition video to form the final road condition video.

[0095] The spatial location represented by each image to be sorted is identified using information such as landmarks, road layout, and vehicle travel direction in the image. Based on the spatial location information, these images are sorted according to their relative positions on the actual road, ensuring that the presentation of the road conditions in the final video is coherent and conforms to spatial geographic logic.

[0096] When there is a blind spot or data missing between two adjacent cameras, an image interpolation algorithm can be used to estimate and fill in the missing road condition information.

[0097] Image interpolation algorithms include linear interpolation, bilinear interpolation, bicubic interpolation, and deep learning-based image generation technology (such as GANs). The specific algorithm selection depends on the requirements for image quality and computational efficiency.

[0098] The preliminary traffic condition video and the uncollected traffic condition video estimated by the interpolation algorithm are spliced ​​together to form a continuous final traffic condition video covering a wider area.

[0099] In some embodiments, after step 14, the traffic video broadcast method 10 further includes:

[0100] The designated event includes a congestion event; according to the congestion level of the event location represented by the final traffic video, the transit time required for the second target vehicle to pass through the event location is determined; if the transit time exceeds a time threshold, the driving route of the second target vehicle is replanned.

[0101] When congestion occurs at a certain location through the final traffic video recognition, the severity of the congestion event can be analyzed by calculating parameters such as vehicle density, traffic speed, and congestion length in the congested area.

[0102] Based on historical data and real-time traffic conditions, the time required for the second target vehicle to pass through the congested area is estimated. If the estimated time exceeds a preset time threshold, a mechanism for re-planning the driving route is triggered.

[0103] While re-routing, notifications can also be sent to users to inform them of current congestion, expected delays, and new route suggestions. In this way, users can quickly obtain the latest traffic information and make corresponding decisions, such as choosing to wait, continue forward, or accept the new route suggestion.

[0104] In some embodiments, after step 14, the traffic video broadcast method 10 further includes:

[0105] The designated event includes a traffic accident event; a reminder signal is sent to the user of the second target vehicle to guide the user to help deal with the traffic accident.

[0106] When the final road condition video identifies a traffic accident event, the system will immediately send a reminder signal to the user of the second target vehicle that is near the accident or may be affected.

[0107] Reminders can be text messages, voice prompts, or visual prompts displayed on the vehicle's display screen, designed to attract the user's attention and guide them to take appropriate actions.

[0108] The alert signal can also include guidance on how to help deal with the traffic accident, such as telling users to keep a safe distance or providing medical assistance.

[0109] In some embodiments, the traffic video broadcast system of the present application can directly establish contact with the traffic police department or other emergency service departments, push accident information to them and provide vehicle location information so that rescue personnel can arrive at the scene quickly.

[0110] By sending timely reminder signals to guide users to take appropriate actions, the safety and emergency response capabilities of users in the event of traffic accidents can be significantly improved. At the same time, the overall traffic efficiency and safety can also be improved.

[0111] Figure 3 Shown is a structural block diagram of an embodiment of the traffic video broadcasting system of the present application.

[0112] like Figure 3 As shown, the traffic video broadcasting system includes one or more processors 21 for implementing the traffic video broadcasting method 10 as described above.

[0113] In some embodiments, the traffic video broadcast system may include a computer-readable storage medium 22, which may store a program that can be called by the processor 21 and may include a non-volatile storage medium. In some embodiments, the traffic video broadcast system may include a memory 23 and an interface 24. In some embodiments, the traffic video broadcast system may also include other hardware according to actual applications.

[0114] The computer-readable storage medium 22 of the embodiment of the present application stores a program thereon, and when the program is executed by the processor 21, it is used to implement the traffic video broadcasting method 10 described above.

[0115] The present application may take the form of a computer program product implemented on one or more computer-readable storage media 22 (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing program code. The computer-readable storage medium 22 includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be a computer-readable instruction, a data structure, a module of a program, or other data. Examples of computer-readable storage media 22 include but are not limited to: phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassette, tape disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device.

[0116] The present application also provides a vehicle, comprising the road condition video broadcasting system as described above.

Claims

1. A method for broadcasting traffic video, characterized in that: include: If a designated event occurs on the road, a first target vehicle is determined based on the event location for video acquisition of the road conditions at the event location; Controlling at least one first target vehicle to collect a road condition video of the event location to obtain a preliminary road condition video; The preliminary traffic condition videos are integrated to obtain the final traffic condition video; The final road condition video is pushed to a second target vehicle that needs to know the road condition at the event location.

2. The method for broadcasting traffic conditions video according to claim 1, characterized in that: The fusing the preliminary traffic condition videos to obtain the final traffic condition video includes: Determining, according to the positions of the plurality of first target vehicles, an overlapping area between the plurality of preliminary road condition videos collected by the plurality of first target vehicles; According to the overlapping area, a plurality of the preliminary traffic condition videos are spliced ​​into the final traffic condition video.

3. The method for broadcasting traffic video according to claim 2, characterized in that: The step of determining, based on the positions of the plurality of first target vehicles, an overlapping area between the plurality of preliminary road condition videos collected by the plurality of first target vehicles comprises: Projecting the video images at the same time in the plurality of preliminary traffic condition videos onto a standard coordinate system in the same projection manner; The overlapping portion of the video images in the standard coordinate system is determined as the overlapping area.

4. The method for broadcasting traffic video according to claim 3, characterized in that: The projection methods include plane projection, cylindrical projection, spherical projection, and cubic projection; The step of determining the overlapping portion of the video images in the standard coordinate system as the overlapping area includes: For each projection mode, multiple video images are projected into a standard coordinate system to obtain the overlapping parts corresponding to the projection mode; The plurality of overlapping portions are determined as the overlapping area.

5. The method for broadcasting traffic video according to claim 3, characterized in that: The step of determining the overlapping portion of the video images in the standard coordinate system as the overlapping area includes: For each projection parameter, multiple video images are projected onto a standard coordinate system according to the projection parameter to obtain an overlapping portion corresponding to the projection parameter; the projection parameter includes a focal length and a field of view angle; The plurality of overlapping portions are determined as the overlapping area.

6. The method for broadcasting traffic video according to claim 2, characterized in that: The step of stitching the plurality of preliminary traffic condition videos into the final traffic condition video according to the overlapping area comprises: Determining video images of the same moment of a plurality of the preliminary traffic condition videos as images to be sorted; Sorting the images to be sorted according to the spatial positions represented by the images to be sorted to obtain sorted images; In the sorted images, based on two adjacent video images, an image interpolation algorithm is used to estimate the uncollected road condition video; The uncollected traffic condition video is spliced ​​with the preliminary traffic condition video to form the final traffic condition video.

7. The method for broadcasting traffic video according to claim 1, characterized in that: If a designated event occurs on the road, determining a first target vehicle for video acquisition of the road condition at the event location according to the event location includes: If a designated event occurs on a road, a video acquisition request message is sent to vehicles equipped with a road condition video broadcasting system within a preset radius with the center point of the event location as the center; The vehicle that agrees to the video acquisition request is determined as the first target vehicle.

8. The method for broadcasting traffic video according to claim 7, characterized in that: The step of determining the vehicle that agrees to the video acquisition request as the first target vehicle includes: According to the distance between the vehicle and the event location, the vehicles that agree to the video collection request are determined as the first target vehicles in order from near to far; The controlling at least one first target vehicle to collect a road condition video of the event location to obtain a preliminary road condition video includes: According to the determined order of the first target vehicles, the first target vehicles are controlled in turn to collect the road condition video of the event location to obtain a preliminary road condition video.

9. The method for broadcasting traffic video according to claim 1, characterized in that: After pushing the final road condition video to the second target vehicle that needs to know the road condition of the event location, the road condition video broadcasting method further includes: The designated event includes a congestion event; determining the transit time required for the second target vehicle to pass through the event location according to the congestion level of the event location represented by the final traffic video; if the transit time exceeds a time threshold, replanning the driving route of the second target vehicle; and / or The designated event includes a traffic accident event; and a reminder signal is sent to the user of the second target vehicle to guide the user to help deal with the traffic accident.

10. A traffic video broadcast system, characterized in that: It includes one or more processors, used to implement the traffic video broadcasting method according to any one of claims 1-9.

11. A vehicle, characterized in that: It includes the traffic video broadcasting system as claimed in claim 10.

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