CN-121999633-A - System and method for collision matching and information exchange

CN121999633ACN 121999633 ACN121999633 ACN 121999633ACN-121999633-A

Abstract

Systems and methods for collision matching and information exchange are provided. A system for a first vehicle that automatically exchanges a collision report with a second vehicle is provided. The vehicle system includes a collision detection verification module in electrical communication with the plurality of sensors and the vehicle database. The collision detection module detects whether a collision event has occurred between the first vehicle and the second vehicle based on the acquired sensed vehicle data, broadcasts a first collision message when the collision event has occurred, and exchanges a first collision report with the second vehicle based on the first collision message. The first crash report includes first driver insurance information associated with the first vehicle and the second crash report includes second driver insurance information associated with the second vehicle.

Inventors

M. Nasiren
D.Xie
P. G.G. Diguinio
U. Seni

Assignees

通用汽车环球科技运作有限责任公司

Dates

Publication Date: 20260508
Application Date: 20250103
Priority Date: 20241107

Claims (10)

1. A system in a first vehicle for automatically exchanging collision reports with a second vehicle, the vehicle system comprising: a vehicle database configured to store a driver insurance record including insurance information, driver license information, and vehicle registration information related to at least one user of the first vehicle; A plurality of sensors configured to acquire real-time vehicle data based on detecting a collision event of the first vehicle with an object and identifying the object, wherein the real-time vehicle data includes vehicle data and image data of an ambient environment of the first vehicle, and A collision detection verification module in electrical communication with the plurality of sensors and the vehicle database; and wherein the collision detection module comprises a processing unit configured to perform a method of exchanging collision reports, the method comprising: Obtaining sensed vehicle data from the plurality of sensors distributed in the first vehicle, wherein the sensed vehicle data includes real-time vehicle data of the surrounding environment of the first vehicle; Detecting whether a collision event has occurred between the first vehicle and the second vehicle based on the acquired sensed vehicle data; broadcasting a first collision message when the collision event has occurred, and Based on the collision event, a first collision report from the first vehicle is exchanged with a second collision report from the second vehicle, wherein the first collision report includes first driver insurance information associated with the first vehicle and the second collision report includes second driver insurance information associated with the second vehicle.
2. The vehicle system of claim 1, wherein the method further comprises: Detecting whether the collision event has occurred with respect to the first vehicle and a nearest object; when the collision event has been determined, analyzing the image data of the sensed vehicle data using image processing to determine whether the nearest object is classified as a classified vehicle; Scanning a predetermined range around a surrounding area of the first vehicle to detect a second collision message broadcast from a nearby vehicle; Performing a verification process on the second collision message to determine whether the identity of the nearby vehicle associated with the second collision message is the same as the identity of the classified vehicle; Encrypting the first collision report with a public key when the nearby vehicle shares the same identity as the classified vehicle of the image data and is referred to as a verified vehicle after the verification process; Exchanging a second encrypted collision report associated with the verified vehicle with an encrypted first collision report of the first vehicle, wherein the verified vehicle is the second vehicle, and Based on the second encrypted driver insurance record and the decryption process, the second decrypted driver insurance record is displayed using the human-machine interface.
3. The vehicle system of claim 1, wherein the plurality of sensors comprises a group consisting of a camera device, a lidar sensor, a radar sensor, an impact sensor, an accelerometer, a brake pedal, an ultrasonic sensor, or a combination thereof.
4. The vehicle system of claim 3, wherein the method further comprises: Acquiring the image data from at least two of the plurality of sensors; Fusing the image data using a sensor fusion algorithm; analyzing the fused image data to detect an object closest to the first vehicle; Determining a distance between the first vehicle and the detected nearest object, and Performing image processing techniques on the image data to determine a classification of the detected nearest object, and Classifying the nearest object as the second vehicle.
5. The vehicle system of claim 2, wherein the verification process further comprises: Verifying that the nearby vehicle is the second vehicle when the nearby vehicle is located near or within the vicinity of the distance between the first vehicle and the second vehicle, and When the nearby vehicle is not located near or within the distance between the first vehicle and the second vehicle, it is verified that the nearby vehicle is not the second vehicle.
6. The vehicle system of claim 2, wherein the step of performing a first verification on the first collision message comprises: Processing the image data using image processing techniques to determine a second vehicle brand, a second vehicle model, and a second vehicle color of the classified vehicles associated with the image data; Comparing a nearby vehicle brand, nearby vehicle model, and nearby vehicle color associated with the nearby vehicle broadcasting the second collision message with a classified vehicle brand, classified vehicle model, and classified vehicle color associated with the classified vehicle identified in the image data, and The first collision report is sent based on the second vehicle for which the nearby vehicle is identified as the image data.
7. The vehicle system of claim 1, wherein the first collision message comprises a collision event and at least one of vehicle global positioning location data, a vehicle brand, a vehicle color, a vehicle model, or a combination thereof.
8. The vehicle system of claim 1, wherein the method further comprises: Receiving a second collision message broadcast from a nearby vehicle at about the same or similar time frame as the first vehicle detected the collision event, and The first collision report is sent based on the second collision message associated with the nearby vehicle.
9. The vehicle system of claim 1, wherein the method further comprises: Determining whether to exchange the first collision report from the first vehicle with the second collision report from a nearby vehicle; Prompting input from a user of the first vehicle to determine whether to exchange the first collision report with the second vehicle, and The first collision report is sent to the second vehicle based on the input associated with the prompt for determining whether to exchange the first collision report and the second collision report.
10. A method for a vehicle system of a first vehicle that automatically exchanges a collision report with a second vehicle, the method comprising: Acquiring sensed vehicle data from a plurality of sensors distributed in the first vehicle, wherein the sensed vehicle data includes real-time vehicle data and image data of an ambient environment of the first vehicle, wherein acquiring the sensed vehicle data includes: Acquiring the image data from at least two of the plurality of sensors; Fusing the image data using a sensor fusion algorithm; analyzing the fused image data to detect an object closest to the first vehicle; determining a distance between the first vehicle and the detected nearest object; Performing image processing techniques on the image data to determine a classification of the detected nearest object, and Classifying the nearest object as the second vehicle; Detecting whether a collision event has occurred between the first vehicle and the second vehicle based on the acquired sensed vehicle data; Broadcasting a first collision message when the collision event has occurred; Scanning a predetermined range around a surrounding area of the first vehicle to detect a second collision message broadcast from a nearby vehicle; Performing a verification process on the second collision message to determine whether the identity of the nearby vehicle associated with the second collision message is the same as the identity of the classified vehicle, wherein performing a first verification on the first collision message comprises: Processing the image data using image processing techniques to determine a second vehicle brand, a second vehicle model, and a second vehicle color of the classified vehicle associated with the image data, and Comparing a nearby vehicle brand, nearby vehicle model, and nearby vehicle color associated with the nearby vehicle broadcasting the second collision message with a classified vehicle brand, a classified vehicle model, and a classified vehicle color associated with the classified vehicle identified in the image data; Encrypting the first collision report with a public key when the nearby vehicle shares the same identity as the classified vehicle of the image data and is referred to as a verified vehicle after the verification process; Exchanging a second encrypted crash report associated with the verified vehicle and the crash event with an encrypted first crash report of the first vehicle, wherein the encrypted first crash report includes first driver insurance information associated with the first vehicle and the encrypted second crash report includes second driver insurance information associated with the second vehicle, and wherein the verified vehicle is a second vehicle, and Based on the second encrypted driver insurance record and the decryption process, the second decrypted driver insurance record is displayed using the human-machine interface.

Description

System and method for collision matching and information exchange Technical Field The technical field relates generally to vehicle-to-vehicle communication between two vehicles, and more particularly to systems and methods for acquiring and exchanging information related to a collision accident between a first vehicle and a second vehicle. Background In recent years, advances in vehicle safety technology have been increasingly focused on improving the ability of vehicles to prevent and mitigate collisions. One important area of development relates to vehicle-to-vehicle (V2V) communication systems that allow vehicles to exchange information in real-time. These systems are designed to enhance situational awareness, enabling vehicles to react to potential hazards before they become an impending threat. The primary use case of V2V communication is the transmission of vehicle data between vehicles after a collision event. Currently, drivers involved in a collision event perform time consuming and potentially dangerous steps to exchange corresponding driver insurance information with each other. In some cases, the driver may determine that the environment in which the collision is located does not provide sufficient safety and protection to exchange such information. For example, a driver may determine that the circumstances associated with a collision are time consuming and potentially dangerous in order to stop their respective vehicle at the roadside, find an insurance-related document, get off, and exchange insurance information with another driver. Despite advances in traffic management, challenges remain in reducing traffic congestion associated with light vehicle collisions. The present disclosure is directed to solving the above-described problems. Furthermore, other desirable features and characteristics of the modifications disclosed herein will become apparent from the subsequent detailed description and the appended claims, taken in conjunction with the accompanying drawings and the foregoing. Disclosure of Invention In one aspect, the present disclosure provides a system in a first vehicle for automatically exchanging collision reports with a second vehicle. In a vehicle system, a vehicle database stores a driver insurance record including insurance information, driver license information, and vehicle registration information related to at least one user of a first vehicle. The plurality of sensors acquire real-time vehicle data based on detecting a collision event of the first vehicle with the identifiable object. The real-time vehicle data includes vehicle data and image data of the surrounding environment of the first vehicle. The collision detection verification module is in electrical communication with the plurality of sensors and the vehicle database. The collision detection module comprises a processing unit for performing the following method for exchanging collision reports. Sensed vehicle data is acquired from a plurality of sensors distributed in a first vehicle. The sensed vehicle data includes real-time vehicle data of an ambient environment of the first vehicle. A collision event is detected whether a collision event has occurred between the first vehicle and the second vehicle based on the acquired sensed vehicle data. When a collision event has occurred, a first collision message is broadcast. Based on the collision event, a first collision report from the first vehicle is exchanged with a second collision report from the second vehicle. The first crash report includes first driver insurance information associated with the first vehicle and the second crash report includes second driver insurance information associated with the second vehicle. In one embodiment, the above-described method may detect whether a collision event has occurred with respect to the first vehicle and the nearest object. When a collision event has been determined, image processing is used to analyze the image data of the sensed vehicle data to determine whether the nearest object is classified as a classified vehicle. A predetermined range around a surrounding area of the first vehicle is scanned to detect a second collision message broadcast from a nearby vehicle. A verification process is performed on the second collision message to determine whether the identity of the nearby vehicle associated with the second collision message is the same as the identity of the classified vehicle. When the nearby vehicle shares the same identity as the classified vehicle of the image data and is referred to as a verified vehicle after the verification process, the first collision report is encrypted with the public key. A second encrypted crash report associated with the verified vehicle is exchanged with the encrypted first crash report for the first vehicle. The verified vehicle is the second vehicle. A human-machine interface associated with the first vehicle may display the second decrypted driver insurance record base