Mode-Based Vehicle Recording for Autonomous Accident Analysis
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Solution Overview
Problem
Existing vehicle recording devices fail to efficiently manage data storage while analyzing the cause of accidents in autonomous vehicles, leading to increased data volume and reduced analyzability.
Innovation Solution
A vehicle recording device that adjusts recording targets based on autonomous driving modes, specifically including or excluding occupant state data like face images depending on the driving mode, to reduce storage needs and enhance accident analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all types of sensor data are recorded continuously regardless of driving mode, then complete data availability is achieved, but data storage volume increases and analyzability decreases
Solution Approach 1:
The recording device dynamically adjusts the recording target based on the autonomous driving mode. In level 3 mode, only essential data (sensor data and driving status) is recorded, while in levels 0-2 mode, additional data (occupant state data including face images) is recorded. This dynamic adaptation resolves the contradiction by optimizing data completeness relative to storage requirements for each operating context.
Solution Approach 2:
The system changes the recording parameters (data types to be recorded) based on the autonomous driving level. The recording target setting unit modifies which sensors are activated and what data is captured according to the current driving mode, thereby controlling data storage volume while maintaining necessary information completeness for accident analysis.
2Loss of information
If face images are recorded in all driving modes, then occupant state information is always available, but unnecessary data storage occurs in autonomous modes
Solution Approach 1:
The system extracts and records only the necessary occupant state information based on driving mode. In level 3 autonomous driving mode, face image recording is excluded as it is not necessary for accident analysis when the system is autonomous. In levels 0-2 where driver involvement is required, face images are recorded. This selective extraction resolves the contradiction by eliminating unnecessary storage while preserving critical information.
3Device complexity
If recording targets are fixed regardless of operating mode, then system complexity is reduced, but adaptability to different autonomous driving levels decreases
Solution Approach 1:
The recording system implements dynamic adaptability through the recording target setting unit that automatically adjusts recording targets based on the autonomous driving mode detected by the mode acquisition unit. This dynamic configuration provides versatility across different driving levels while maintaining manageable system complexity through automated mode-based control logic.
Data Source
AI summary
A vehicle recording device includes: a mode acquisition unit configured to acquire a signal indicative of an operating mode of an autonomous driving processing unit; a recording target setting unit configured to change a recording target in accordance with the operating mode; and a recording processing unit configured to store information of the recording target set by the recording target setting unit into a data storage unit. The recording target setting unit is further configured to: set a face image of an occupant in a driver's seat as the recording target when the autonomous driving processing unit operates in a level 3 mode; and not set the face image as the recording target when the autonomous driving processing unit operates in an occupant involvement mode.