US-20260127919-A1 - SYSTEM AND METHOD FOR COLLISION MATCHING AND INFORMATION EXCHANGE

US20260127919A1US 20260127919 A1US20260127919 A1US 20260127919A1US-20260127919-A1

Abstract

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

Inventors

Mohammad Naserian
Daniel Xie
Patrick Giancarlo Gabriel Digioacchino
Utkarsh Saini

Assignees

GM Global Technology Operations LLC

Dates

Publication Date: 20260507
Application Date: 20241107

Claims (20)

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, the driver insurance record includes insurance information, a driver license information, and a vehicle registration information related to a 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 a surrounding 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 a collision report comprising: acquiring sensed vehicle data from the plurality of sensors distributed through 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 sensed vehicle data acquired; broadcasting a first collision message when the collision event has occurred; and exchanging a first collision report from the first vehicle with a second collision report from the second vehicle based on the collision event, wherein the first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a 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 regarding the first vehicle with a nearest object; analyzing the image data of the sensed vehicle data to determine whether the nearest object is classified as a classified vehicle when the collision event has been determined, using image processing; scanning a predetermined range around the surrounding area of the first vehicle to detect a second collision message broadcasted from a nearby vehicle; performing a verification process on the second collision message to determine whether an identity of the nearby vehicle associated with the second collision message is a same identity as the classified vehicle; encrypting the first collision report with a public key, when the nearby vehicle shares the same identity as that of the classified vehicle of the image data and is referred to after the verification process as a verified vehicle; exchanging an encrypted first collision report of the first vehicle for a second encrypted collision report associated with the verified vehicle, wherein the verified vehicle is the second vehicle; and displaying, using a human machine interface, a second decrypted driver insurance record based on the second encrypted driver insurance record and a decryption process.
3 . The vehicle system according to claim 1 , wherein the plurality of sensors comprises a group consisting of: a camera device, LiDar sensor, a RADAR sensor, an impact sensor, an accelerometer, a brake pedal, an ultrasound sensor, or a combination thereof.
4 . The vehicle system according to 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 fusing algorithm; analyzing a fused image data to detect an object nearest to the first vehicle; determining a distance between the first vehicle and the nearest object detected; and performing an image processing technique on the image data to determine a classification of the nearest object detected; and classifying the nearest object as the second vehicle.
5 . The vehicle system according to claim 2 , wherein the verification process further comprises verifying the nearby vehicle as the second vehicle when the nearby vehicle is within near or about the distance between the first vehicle and the second vehicle.
6 . The vehicle system according to claim 2 , wherein the verification process further comprises verifying the nearby vehicle is not the second vehicle when the nearby vehicle is not within near or about the distance between the first vehicle and the second vehicle.
7 . The vehicle system according to claim 2 , wherein the step to perform the first verification on the first collision message comprises: processing the image data, using an image processing technique, to determine a second vehicle make, a second vehicle model, and a second vehicle color of the classified vehicle associated with the image data; comparing a nearby vehicle make, a nearby vehicle model and a nearby vehicle color associated of the nearby vehicle that broadcasted the second collision message to a classified vehicle make, a classified vehicle model and a classified vehicle color associated with the classified vehicle identified in the image data; and transmitting the first collision report based the nearby vehicle being identified as the second vehicle of the image data.
8 . The vehicle system according to claim 1 , wherein the first collision message comprises a collision event and at least one of a vehicle global positioning location data, a vehicle make, a vehicle color, a vehicle model, or a combination thereof.
9 . The vehicle system according to claim 1 , wherein the method further comprises: receiving a second collision message broadcasted from a nearby vehicle about a same or similar time frame as the first vehicle detects the collision event; and transmitting the first collision report based on the second collision message associated with the nearby vehicle.
10 . The vehicle system according to claim 1 wherein the method further comprises: determining whether to exchange of the first collision report from the first vehicle with the second collision report from the nearby vehicle; prompting an input from a user of the first vehicle to determine whether to exchange, with the second vehicle, the first collision report for the second collision report; and transmitting, to the second vehicle, the first collision report based on the input associated with the prompt to determine whether to exchange the first collision report and the second collision report.
11 . A method of a vehicle system for a first vehicle that automatically exchanges collision reports with a second vehicle, the method comprising: acquiring sensed vehicle data from a plurality of sensors distributed through the first vehicle, wherein the sensed vehicle data includes real-time vehicle data and image data of a surrounding environment of the first vehicle; detecting whether a collision event has occurred between the first vehicle and the second vehicle based on the sensed vehicle data acquired; broadcasting a first collision message when the collision event has occurred; and exchanging a first collision report from the first vehicle with a second collision report from the second vehicle based on the collision event, wherein the first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a second driver insurance information associated with the second vehicle.
12 . The method according to claim 11 further comprising: detecting whether the collision event has occurred regarding the first vehicle with a nearest object; analyzing the image data of the sensed vehicle data to determine whether the nearest object is classified as a classified vehicle when the collision event has been determined, using image processing; scanning a predetermined range around the surrounding area of the first vehicle to detect a second collision message broadcasted from a nearby vehicle; performing a verification process on the second collision message to determine whether an identity of the nearby vehicle associated with the second collision message is a same identity as the classified vehicle; encrypting the first collision report with a public key, when the nearby vehicle shares the same identity as that of the classified vehicle of the image data and is referred to after the verification process as a verified vehicle; exchanging an encrypted first collision report of the first vehicle for a second encrypted collision report associated with the verified vehicle, wherein the verified vehicle is the second vehicle; and displaying, using a human machine interface, a second decrypted driver insurance record based on the second encrypted driver insurance record and a decryption process.
13 . The method according to claim 12 , wherein the verification process further comprises verifying the nearby vehicle as the second vehicle when the nearby vehicle is within near or about the distance between the first vehicle and the second vehicle.
14 . The method according to claim 12 , wherein the verification process further comprises verifying the nearby vehicle is not the second vehicle when the nearby vehicle is not within near or about the distance between the first vehicle and the second vehicle.
15 . The method according to claim 12 , wherein the perform the first verification on the first collision message comprises: processing the image data, using an image processing technique, to determine a second vehicle make, a second vehicle model, and a second vehicle color of the classified vehicle associated with image data; comparing a nearby vehicle make, a nearby vehicle model and a nearby vehicle color associated of the nearby vehicle that broadcasted the second collision message to a classified vehicle make, a classified vehicle model and a classified vehicle color associated with the classified vehicle identified in the image data; and transmitting the first collision report based the nearby vehicle being identified as the second vehicle of the image data.
16 . The method according to claim 11 , wherein the plurality of sensors comprises a group consisting of: a camera device, LiDar sensor, a RADAR sensor, an impact sensor, an accelerometer, a brake pedal, an ultrasound sensor, or a combination thereof.
17 . The method according to claim 16 further comprising: acquiring the image data from at least two of the plurality of sensors; fusing the image data using a sensor fusing algorithm; analyzing a fused image data to detect an object nearest to the first vehicle; determining a distance between the first vehicle and the nearest object detected; and performing an image processing technique on the image data to determine a classification of the nearest object detected; and classifying the nearest object as the second vehicle.
18 . The method according to claim 11 , wherein the first collision message comprises a collision event and at least one of a vehicle global positioning location data, a vehicle make, a vehicle color, a vehicle model, or a combination thereof.
19 . The method according to claim 11 further comprising: receiving a second collision message broadcasted from a nearby vehicle about a same or similar time frame as the first vehicle detects the collision event; and transmitting the first collision report based on the second collision message associated with the nearby vehicle.
20 . A method of a vehicle system for a first vehicle that automatically exchanges collision reports with a second vehicle, the method comprising: acquiring sensed vehicle data from a plurality of sensors distributed through the first vehicle, wherein the sensed vehicle data includes real-time vehicle data and image data of a surrounding environment of the first vehicle, wherein the acquiring the sensed vehicle data comprises: acquiring the image data from at least two of the plurality of sensors; fusing the image data using a sensor fusing algorithm; analyzing a fused image data to detect an object nearest to the first vehicle; determining a distance between the first vehicle and the nearest object detected; performing an image processing technique on the image data to determine a classification of the nearest object detected; 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 sensed vehicle data acquired; broadcasting a first collision message when the collision event has occurred; scanning a predetermined range around the surrounding area of the first vehicle to detect a second collision message broadcasted from a nearby vehicle; performing a verification process on the second collision message to determine whether an identity of the nearby vehicle associated with the second collision message is a same identity as the classified vehicle, wherein the perform the first verification on the first collision message includes: processing the image data, using an image processing technique, to determine a second vehicle make, a second vehicle model, and a second vehicle color of the classified vehicle associated with image data; and comparing a nearby vehicle make, a nearby vehicle model and a nearby vehicle color associated of the nearby vehicle that broadcasted the second collision message to a classified vehicle make, 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 that of the classified vehicle of the image data and is referred to after the verification process as a verified vehicle; exchanging an encrypted first collision report of the first vehicle for a second encrypted collision report associated with the verified vehicle and the collision event, wherein the encrypted first collision report includes a first driver insurance information associated with the first vehicle and the encrypted second collision report includes a second driver insurance information associated with the second vehicle, and wherein the verified vehicle is the second vehicle; and displaying, using a human machine interface, a second decrypted driver insurance record based on the second encrypted driver insurance record and a decryption process.

Description

INTRODUCTION The technical field generally relates to vehicle-to-vehicle communication between two vehicles, and more particularly to a system and method for the acquisition and exchange of information concerning a collision incident between the first and second vehicles. In recent years, advancements in vehicular safety technologies have increasingly focused on improving the ability of vehicles to prevent and mitigate collisions. One significant area of development relates to Vehicle-to-Vehicle (V2V) communication systems, which allows 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 imminent threats. A primary use case for V2V communication is the transmission of vehicle data between vehicles after a collision event. At the present, drivers involved in a collision event conduct time consuming and potentially hazardous steps to exchange respective driver insurance information with each other. In some situations, a driver may determine that an environment where the collision is located does not provide adequate safety and protection to exchange such information. For example, a driver may determine that the circumstances associated with the collision is time-consuming and potentially hazardous to stop their respective vehicles on a side of the road, find insurance related documents, get out of their vehicle, and exchange insurance information with the other driver. Despite advancements in traffic management, challenges also remain in reducing traffic back-up associated with minor vehicle collisions. The present disclosure seeks to address the above-mentioned issues. Furthermore, other desirable features and characteristics of the variations disclosed herein will become apparent from the subsequent detailed description and the appended claims, taken in conjunction with the accompanying drawings and the foregoing. SUMMARY In one aspect, the present disclosure provides a system in a first vehicle for automatically exchanging collision reports with a second vehicle. In the vehicle system, a vehicle database stores a driver insurance record, the driver insurance record includes insurance information, a driver license information, and a vehicle registration information related to a least one user of the first vehicle. A plurality of sensors acquire real-time vehicle data based on detecting a collision event of the first vehicle with an identifiable object. The real-time vehicle data includes vehicle data and image data of a surrounding environment of the first vehicle. A collision detection verification module is in electrical communication with the plurality of sensors and the vehicle database. The collision detection module includes a processing unit to perform the following method for of exchanging a collision report. Sensed vehicle data is acquired from the plurality of sensors distributed through the first vehicle. The sensed vehicle data includes real-time vehicle data of the surrounding environment of the first vehicle. Whether a collision event has occurred between the first vehicle and the second vehicle is detected based on the sensed vehicle data acquired. A first collision message is broadcasted when the collision event has occurred A first collision report is exchanged from the first vehicle with a second collision report from the second vehicle based on the collision even. The first collision report includes a first driver insurance information associated with the first vehicle and the second collision report includes a second driver insurance information associated with the second vehicle. In one embodiment, the method described above may detect whether the collision event has occurred regarding the first vehicle with a nearest object. The image data of the sensed vehicle data is analyzed to determine whether the nearest object is classified as a classified vehicle when the collision event has been determined, using image processing. A predetermined range around the surrounding area of the first vehicle is scanned to detect a second collision message broadcasted from a nearby vehicle. A verification process is performed on the second collision message to determine whether an identity of the nearby vehicle associated with the second collision message is a same identity as the classified vehicle. The first collision report is encrypted with a public key, when the nearby vehicle shares the same identity as that of the classified vehicle of the image data and is referred to after the verification process as a verified vehicle. An encrypted first collision report for the first vehicle is exchanged for a second encrypted collision report associated with the verified vehicle. The verified vehicle is the second vehicle. A human machine interface associated with the first vehicle may display, a second decrypted driver insurance record based on the second encrypted driver insurance rec