Vehicle Control System Modification via Accident Reconstruction Data
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Solution Overview
Problem
Current vehicle control systems lack the ability to effectively utilize Vehicle-to-Everything (V2X) data and Basic Safety Messages (BSMs) to improve accident reconstruction analysis and modify vehicle control systems for enhanced safety, leading to inadequate prevention and reduction of collisions.
Innovation Solution
A feedback system installed in an ego vehicle's electronic control unit (ECU) and an analysis system in a server cooperate to analyze V2X data and sensor data from cameras to provide accurate vehicular accident reconstruction analysis, modifying the vehicle control system by generating report data, which includes event data and BSM data, to improve safety by modifying the vehicle's braking, steering, and acceleration systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional VAR analysis methods are used, then analysis can be conducted without additional systems, but the analysis process is labor and time-intensive and lacks accuracy in determining collision causation
Solution Approach 1:
The system performs preliminary data collection by continuously recording sensor data, V2X messages, and BSM data before collisions occur. This preliminary action ensures that when a collision happens, the analysis can be conducted immediately using pre-captured data, eliminating the need for time-intensive on-site reconstruction and significantly reducing VAR analysis time while improving accuracy through comprehensive pre-collected evidence
Solution Approach 2:
The system creates digital copies of the collision environment by capturing sensor data, V2X communications, and BSM messages that replicate the actual collision scenario. These digital copies serve as virtual recreations of the accident scene, allowing analysts to study collision causation without physical reconstruction, thereby reducing both time and labor requirements while maintaining high measurement precision
2Reliability
If vehicles react promptly using existing control systems, then some collisions may be avoided, but existing systems lack the ability to utilize V2X data and BSMs for effective collision prevention
Solution Approach 1:
The vehicle control system is enhanced to perform multiple functions: it not only processes traditional sensor data but also universally handles V2X messages and BSM data from multiple sources. This multi-functionality allows the system to utilize diverse data types for collision prevention, improving reliability by comprehensively analyzing all available information while demonstrating adaptability to various data formats and communication protocols
Solution Approach 2:
The system implements feedback mechanisms where V2X and BSM data are continuously monitored and fed back to the control system in real-time. This feedback loop enables the vehicle to adjust its behavior based on incoming data about surrounding vehicles and potential hazards, significantly improving collision prevention capability while demonstrating adaptability to dynamic environmental changes through continuous data utilization
Data Source
AI summary
The disclosure describes embodiments for modifying a vehicle control system of a connected vehicle based on a Vehicular Accident Reconstruction (VAR) analysis. In some embodiments, a method includes detecting an occurrence of a collision associated with a remote vehicle; generating report data associated with the collision, where the report data includes one or more of Vehicle-to-Everything (V2X) data describing V2X wireless messages received prior to detecting the occurrence of the collision and event data describing one or more driving events observed by an ego vehicle; transmitting the report data to a server; receiving modification data that describes a modification for a vehicle control system of the ego vehicle from the server, where the modification data is generated based on the report data through a VAR analysis; and modifying an operation of the vehicle control system based on the modification data to improve safety of the ego vehicle.