A novel road traffic accident investigation data collection method and system

Abstract

This invention relates to the field of traffic accident investigation technology, and discloses a novel method and system for collecting road traffic accident investigation data, including a user terminal and a processing terminal. The user terminal includes integrated acquisition glasses, which are equipped with an image acquisition module for collecting image information of the accident scene, a lidar for scanning the accident scene and obtaining corresponding three-dimensional spatial information, a communication module, an information prompt module for importing accident scene acquisition standards and generating prompt information according to the standards, and a VR image display module for projecting the prompt information into the visible space. The processing terminal includes a data processing module, which processes the image information and three-dimensional spatial information transmitted by the integrated acquisition glasses, converts them into panoramic images, and transmits them back to the integrated acquisition glasses. This invention enables rapid accident data acquisition, processing, and real-time display, achieving high acquisition efficiency and completeness.

Description

Technical Field

[0001] This invention relates to the field of traffic accident investigation technology, specifically to a novel method and system for collecting road traffic accident investigation data. Background Technology

[0002] After a traffic accident, it is necessary to investigate and retain relevant information from the accident scene in a timely manner in order to facilitate accident investigation and insurance pricing.

[0003] The conventional investigation method involves investigators using cameras to capture images of the accident scene, employing measuring devices such as laser rangefinders, and other tools for marking and surveying to measure and collect dimensional information, thus completing the data collection. This method involves a large workload, is time-consuming, and its accuracy is easily affected by the operator's skill level, resulting in relatively poor precision of the measured dimensional information.

[0004] Another method for accident scene investigation involves using digital cameras to take multi-angle panoramic photos of the existing scene, which can then be post-processed to generate a 360° panoramic image. This image allows for a 360° rotation around the scene from a given point, marking elements such as vehicles at the accident site. While this method effectively reduces the workload of measurements and improves investigation efficiency, its measurement accuracy is low. Secondary measurements using actual scene images can introduce significant errors, rendering the data invalid and limiting its feasibility.

[0005] Furthermore, due to the large number of accident information items to be collected and the varying environments at traffic accident scenes, problems such as omissions, errors, omissions in drawing, and errors in drawing often occur in actual traffic accident investigations, and the above methods cannot effectively solve this problem. Summary of the Invention

[0006] The present invention aims to provide a novel method and system for collecting road traffic accident investigation data, which has intelligent guidance function, can realize rapid acquisition, processing and real-time display of accident data, achieve high collection efficiency and completeness, and can effectively reduce data omissions and miscalculations.

[0007] To achieve the above objectives, the basic solution provided by this invention is as follows:

[0008] Option 1

[0009] A novel road traffic accident investigation data acquisition system includes a user terminal and a processing terminal. The user terminal includes integrated acquisition glasses, which are equipped with an image acquisition module, a lidar, a communication module, an information prompt module, and a VR display module. The image acquisition module is used to acquire image information of the accident scene, and the lidar is used to scan the accident scene and acquire the corresponding three-dimensional spatial information. The information prompt module is used to import accident scene acquisition standards and generate prompt information according to the standards. The prompt information includes items to be collected, acquisition station locations, acquisition order, acquisition stop information, and information requiring supplementary acquisition. The VR display module is used to project the prompt information into the visible space.

[0010] The processing terminal includes a cloud-based data processing module; the data processing module and the integrated acquisition glasses interact bidirectionally via a communication module; the data processing module processes the image information and three-dimensional spatial information transmitted by the integrated acquisition glasses, converts them into panoramic images with standard dimensions, and transmits them to the integrated acquisition glasses; the VR image display module is also used to project the panoramic images into the visible space.

[0011] The working principle and advantages of this solution are as follows: In actual use, operators wear integrated data acquisition glasses, and the information prompt module provides prompts. Operators can see these prompts within their visual space through the AR display module. Following these instructions, operators can collect data on each item according to the pre-set collection positions, collection sequence, and collection pause information. This solution effectively avoids missed data collection. Furthermore, the VR display module can project panoramic images into the visual space, facilitating timely verification of data collection results and enabling targeted remediation. This effectively reduces erroneous and missed data collection, achieving high collection efficiency and completeness.

[0012] In particular, this solution provides a traffic accident data collection system with intelligent guidance capabilities. This system can flexibly cooperate with operators (investigators), providing timely and accurate guidance to ensure effective and complete data collection. In actual traffic accident scene investigations, while some existing laser scanners and high-definition cameras can complete the investigation tasks and collect certain dimensional information, reducing the workload, these devices rely on operators to independently set up the collection points and cannot provide intelligent assistance for the operators' collection plans. Furthermore, due to the time-sensitive nature of accident scenes, after a single measurement, to ensure traffic safety and promptly restore traffic order, the accident scene is immediately removed, generally making it difficult to re-extract accident scene information. Incomplete evidence or contradictory data collection becomes problematic. Existing data collection equipment cannot effectively address these issues.

[0013] By applying this system, the prompting module and AR display module can visually guide operators to complete data collection actions as required, ensuring accurate and complete evidence collection. Furthermore, by combining image information and 3D spatial data, the collected on-site images and geometric parameters can be cross-validated, facilitating timely verification of the effectiveness of information collection and significantly reducing false or missed data collection. Moreover, compared to some existing panoramic camera-based acquisition solutions, this solution's dimensional measurements are based on 3D spatial information, achieving higher data measurement accuracy.

[0014] Option 2

[0015] A novel method for collecting road traffic accident investigation data, using a novel road traffic accident investigation data collection system as described in Scheme 1, includes the following steps: using integrated acquisition glasses and collecting traffic accident data according to the prompts from the information prompt module.

[0016] The working principle and advantages of this solution are as follows: When investigating traffic accidents, the integrated acquisition glasses eliminate the need to carry multiple additional acquisition devices, allowing for convenient acquisition of image and 3D spatial information. Furthermore, during data acquisition, the information prompt module provides real-time prompts, efficiently guiding operators to quickly complete the acquisition task according to plan. This also helps reduce data omissions and errors, achieving high acquisition efficiency and completeness. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system structure of a novel road traffic accident investigation data collection method and system according to an embodiment of the present invention;

[0018] Figure 2 This is a schematic diagram of the road environment data collection station at an intersection, representing an embodiment of a novel road traffic accident investigation data collection method and system according to the present invention.

[0019] Figure 3 This is a schematic diagram of the road environment data collection station at a T-junction, as shown in Embodiment 1 of the novel road traffic accident investigation data collection method and system of the present invention.

[0020] Figure 4 This is a schematic diagram of road environment data collection stations on a normal road section, representing an embodiment of a novel road traffic accident investigation data collection method and system according to the present invention.

[0021] Figure 5 This is a schematic diagram of the central data collection station at an intersection, as shown in Embodiment 1 of a novel road traffic accident investigation data collection method and system of the present invention.

[0022] Figure 6 This is a schematic diagram of the on-site central data collection station at a T-junction, as shown in Embodiment 1 of the novel road traffic accident investigation data collection method and system of the present invention.

[0023] Figure 7 This is a schematic diagram of the on-site central data collection station location on a normal road section, according to Embodiment 1 of the novel road traffic accident investigation data collection method and system of the present invention.

[0024] Figure 8 This is a schematic diagram of the dual-target center collection station location in Embodiment 1 of a novel road traffic accident investigation data collection method and system of the present invention;

[0025] Figure 9 This is a schematic diagram of the single-target center collection station structure in Embodiment 1 of a novel road traffic accident investigation data collection method and system of the present invention. Detailed Implementation

[0026] The following detailed explanation illustrates the specific implementation methods:

[0027] Example 1

[0028] The basic implementation examples are as follows: Figure 1 As shown: A novel road traffic accident investigation data collection system, including a user terminal and a processing terminal.

[0029] The user terminal includes integrated acquisition glasses, which are equipped with an image acquisition module, a lidar, a communication module, an information prompt module, a VR image display module, an adjustment module, and a storage module.

[0030] The image acquisition module is used to acquire image information of the accident scene. The lidar is used to scan the accident scene and obtain the corresponding three-dimensional spatial information of the accident scene. Specifically, the information acquired by the lidar includes data such as the coordinates, reflectivity, and color of each point on the surface of the scanned object.

[0031] The information prompting module is used to import accident scene collection standards and generate prompt information according to these standards. The prompt information includes the item to be collected, collection station location, collection sequence, collection pause information, and information requiring supplementary collection. For example, when the item to be collected is an accident vehicle, the prompt information might be: Step 1 (collection sequence): Photograph the vehicle identification number (VIN) or nameplate of the accident vehicle (item to be collected), with the collection station located at the windshield, and the collection pause lasting 30 seconds; Step 2: Scan and photograph the overall exterior of the vehicle, with the collection station set as the starting point directly in front of the accident vehicle, and eight stations arranged counter-clockwise around the vehicle; Step 3: Photograph and scan the interior space of the vehicle; Step 4: Photograph the dashboard.

[0032] In this embodiment, the data collection stations include road environment data collection stations, on-site center data collection stations, and target center data collection stations.

[0033] Specifically, when generating prompt information, the information prompt module also calls the perspective information of the image acquisition module in real time, determines the on-site road environment, and first generates road environment acquisition station points. When the on-site road environment is determined to be a crossroads or a T-junction, the generated road environment acquisition station points are limited to the intersection and the roads leading to and from the intersection, as shown in the attached figure. Figure 2 and Figure 3 As shown in the attached diagram. When the on-site road environment is a normal road section, the generated road environment data collection points are limited to the accident site and the upstream and downstream roads of the accident site. Figure 4 As shown in the attached diagram. After generating the road environment data collection station locations, the information prompting module further generates the on-site central data collection station locations, as shown in the attached diagram. Figure 5 , Figure 6 and Figure 7 As shown, a 360° surround sampling point is generated around the accident scene, centered on the accident site area. The view from each sampling point must include vehicles, debris, and traces at the scene. Furthermore, a target center sampling point is generated around the accident vehicle, person, or object struck, as shown in the attached diagram. Figure 8 and Figure 9 As shown.

[0034] Here, the information prompting module can intelligently identify multiple types of data collection stations that match the actual scenario (i.e., the actual road environment) based on the operator's real-time perspective information. It has a high degree of intelligence and can effectively guide the operator to complete multi-perspective information collection.

[0035] In this embodiment, after each item to be collected is completed, the information acquisition module checks in real time whether there is any information that needs to be supplemented. If there is image distortion or missing point cloud in the acquired image information or three-dimensional spatial information, the corresponding supplementary information is generated, and the supplementary information displays the corresponding image information with image distortion or the corresponding location information of missing point cloud.

[0036] The VR image display module is used to project prompt information into the visible space. Specifically, in this embodiment, the VR image display module is also used to display the scanned / captured accident scene information so that the operator can promptly confirm whether the current collection results meet the requirements. If the results do not meet the requirements, the operator can promptly cancel the current collection results and re-collect them, which can ensure that the final collected data has a high degree of validity.

[0037] The adjustment module is used to adjust the display effect of the panoramic image. Specifically, the adjustment module is used to adjust the scanning accuracy of the image acquisition module, adjust image acquisition parameters such as lens aperture, contrast, focus, flash, and image stabilization, and zoom in / out on the current acquisition result (image or 3D point cloud). It is also used to adjust / view the settings parameters of the integrated acquisition glasses, such as viewing device battery level, signal strength, latency, acquisition step prompts, and error correction prompts.

[0038] The storage module is used to save the data collected by the image acquisition module and the lidar in real time. After the acquired data is transmitted to the data processing module through the communication module, the storage module automatically deletes the transmitted data to ensure that the data storage space is sufficient.

[0039] The processing unit includes a cloud-based data processing module. This module interacts bidirectionally with the integrated acquisition glasses via a communication module. The data processing module processes the image and 3D spatial information transmitted by the integrated acquisition glasses, converts it into a panoramic image with standard dimensions, and transmits it back to the integrated acquisition glasses. The VR display module also projects the panoramic image into the visible space. The data processing module also generates a 3D point cloud model based on the 3D spatial information to facilitate observation of the 3D state of the accident scene. Simultaneously, the data processing module saves the received image and 3D spatial information, as well as the processed panoramic image information, to a cloud database for easy retrieval.

[0040] The communication module is also used for online voice or video communication. In practical applications, it allows for real-time communication with other operators, improving cooperation among them at the accident scene. Furthermore, when traffic accident scenarios are complex or highly dangerous, professionals can remotely guide operators wearing integrated data acquisition glasses to collect data, improving efficiency and reducing risks.

[0041] The communication module also includes a sharing unit; this sharing unit is used to share the acquired image information and 3D spatial information with other integrated acquisition glasses, and also to share any unfinished acquisition actions to other integrated acquisition glasses when the acquisition action of this integrated acquisition glasses is terminated. Through the sharing unit, multiple operators at the same accident scene can collaborate with each other, effectively avoiding duplicate or missed data acquisition, and helping to further improve data acquisition efficiency.

[0042] The data processing module, when processing the image and 3D spatial information transmitted by the integrated acquisition glasses, includes: generating a 3D point cloud of the accident scene based on the 3D spatial information; stitching the image information into a panoramic image and annotating it with standard dimensions; the standard dimension annotation includes: converting road signs, markings, and municipal facility information in the panoramic image into standardized coordinate points based on the image information and the 3D point cloud, and adding layers and color attributes to them. Taking road markings as an example, the data processing module can extract the highest point and the lower right corner of the right-turn arrow on the lane based on the image information and the 3D point cloud, connect the two points to form a line, and assign a road marking layer and white attribute to the line; connect the center point of the first line of the zebra crossing to the center point of the last line to form a line segment, and assign a zebra crossing layer and white attribute to the line segment; generate the yellow road dividing line as a polyline in the system, and assign a road dividing line layer and yellow attribute to the line segment, etc.

[0043] When annotating with standard dimensions, the data processing module also identifies the VIN code of the vehicle involved in the accident scene based on image information and 3D point cloud. Based on the VIN code, it retrieves the standard vehicle body dimensions of the corresponding vehicle from the network, thereby obtaining the deformation data and vehicle scratch length. Specifically, in this embodiment, the data processing module can query the standard wheelbase of the corresponding vehicle on the vehicle registration website using the VIN code. By scaling the distance between the two axles of the accident vehicle in the collected image information to match the standard wheelbase, the true dimensions of the features on the accident vehicle (such as deformation depth, scratch length, deformation range, etc.) can be obtained equivalently.

[0044] The data processing module is also used to output the collected information in file and structured form.

[0045] Specifically, in this embodiment, the files output by the data processing module include: panoramic photos, 3D point cloud files, CAD plan files, 3D scene files, etc. The structured output includes: filling fields in the cloud database based on the collected information. For example, the geometric data (length, width, height, wheelbase, etc.) of the accident vehicles collected from the accident vehicle information are directly filled into the fields of the cloud database.

[0046] This embodiment also provides a novel method for collecting road traffic accident investigation data, which uses a novel road traffic accident investigation data collection system as described above to collect data, including the following steps: using integrated acquisition glasses, and collecting traffic accident data according to the prompts from the information prompt module.

[0047] This embodiment provides a novel method and system for collecting road traffic accident investigation data, which enables rapid acquisition, processing, and real-time display of accident data, achieving high collection efficiency and completeness. Furthermore, the system features intelligent guidance, generating prompts based on the actual accident scene to guide operators in collecting traffic accident data, effectively reducing data omissions and errors.

[0048] Example 2

[0049] A novel road traffic accident investigation data collection system has been developed, which adjusts the data processing module based on Embodiment 1.

[0050] Specifically, when a complete panoramic image cannot be generated based on the image information, the data processing module also predicts the missing parts of the panorama based on the image information and generates a transparent mask to replace the missing parts of the panorama, so as to form an equivalent panoramic image.

[0051] The data processing module also adds prompt labels to the equivalent panoramic image; the prompt labels include panoramic missing parts information entries, missing annotation reference information entries, and image information and three-dimensional spatial information entries that need to be re-acquired.

[0052] In practical applications, the VR display module projects an equivalent panoramic image into the visible space. During this process, the VR display module can also align the viewpoint of the equivalent panoramic image with the viewpoint of the visible space according to the operator's viewpoint. When the missing part of the panoramic view is not within the viewpoint, it will issue viewpoint shift information such as turning left by xx degrees or right by xx degrees within the visible space, so that the operator can quickly identify the missing part of the panoramic view.

[0053] This embodiment provides a novel method and system for collecting road traffic accident investigation data. It can guide operators to collect supplementary information using equivalent panoramic images. Compared to directly providing the local information that needs to be collected, which often requires operators to spend time finding the corresponding parts to be collected due to the complexity of accident scene information, this solution directly integrates the parts to be photographed into the panoramic image and provides collection prompts. This can accurately guide operators to quickly locate the points that need to be photographed, which helps to further improve the collection efficiency and completeness.

[0054] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. A novel road traffic accident investigation data collection system, characterized in that, It includes a user terminal and a processing terminal; the user terminal includes integrated acquisition glasses, which are equipped with an image acquisition module, a lidar, a communication module, an information prompt module, and a VR image display module; the image acquisition module is used to acquire image information of the accident scene, and the lidar is used to scan the accident scene and obtain the corresponding three-dimensional spatial information of the accident scene; The information prompting module is used to import the accident scene collection standards and generate prompting information according to the accident scene collection standards. The prompting information includes the items to be collected, collection station, collection order, collection stop information, and information that needs to be collected again. The VR image display module is used to project the prompting information into the visible space. The processing terminal includes a cloud-based data processing module; the data processing module and the integrated acquisition glasses interact bidirectionally via a communication module; the data processing module processes the image information and three-dimensional spatial information transmitted by the integrated acquisition glasses, converts them into panoramic images with standard dimensions, and transmits them to the integrated acquisition glasses; the VR image display module is also used to project the panoramic images into the visible space. The communication module also includes a sharing unit; the sharing unit is used to share the acquired image information and three-dimensional spatial information with other integrated acquisition glasses, and is also used to share the unfinished acquisition actions to other integrated acquisition glasses when the acquisition action of this integrated acquisition glasses is stopped. When processing the image information and three-dimensional spatial information transmitted by the integrated acquisition glasses, the data processing module includes: generating a three-dimensional point cloud of the accident scene based on the three-dimensional spatial information; stitching the image information into a panoramic image and annotating it with standard dimensions; the standard dimension annotation includes: converting the road signs, markings and municipal facility information in the panoramic image into standardized coordinate points based on the image information and the three-dimensional point cloud, and adding layers and color attributes to them. When a complete panoramic image cannot be generated based on the image information, the data processing module also predicts the missing parts of the panorama based on the image information and generates a transparent mask to replace the missing parts of the panorama, so as to form an equivalent panoramic image.

2. The novel road traffic accident investigation data acquisition system according to claim 1, characterized in that, The integrated acquisition glasses are also equipped with an adjustment module; the adjustment module is used to adjust the display effect of the panoramic image.

3. The novel road traffic accident investigation data collection system according to claim 1, characterized in that, The communication module is also used for online voice communication or online video communication.

4. The novel road traffic accident investigation data acquisition system according to claim 1, characterized in that, When annotating with standard dimensions, the data processing module also identifies the VIN code of the vehicle involved in the accident scene based on image information and three-dimensional point cloud, and obtains the standard vehicle body size information of the corresponding vehicle from the network based on the VIN code, thereby obtaining the deformation data and vehicle trace length of the vehicle involved.

5. A novel road traffic accident investigation data acquisition system according to claim 1, characterized in that, The data processing module also adds prompt labels to the equivalent panoramic image; the prompt labels include panoramic missing parts information entries, missing annotation reference information entries, and image information and three-dimensional spatial information entries that need to be re-acquired.

6. The novel road traffic accident investigation data acquisition system according to claim 1, characterized in that, The data processing module is also used to output the collected information in file and structured form.

7. A novel method for collecting road traffic accident investigation data, characterized in that, The data collection using a novel road traffic accident investigation data collection system as described in any one of claims 1-6 includes the following steps: using integrated acquisition glasses and collecting traffic accident data according to the prompts from the information prompt module.

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