Vehicle Data Recorder Trigger Logic for Sudden Start Detection
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Solution Overview
Problem
Existing data recorders struggle to accurately record vehicle states during sudden starts, often misinterpreting road bumps as accidents and failing to distinguish between driver error and electrical system malfunctions, leading to incomplete or incorrect data capture.
Innovation Solution
A data recorder system comprising controlled state detectors, operating state detectors, and a recording condition determination unit that analyzes signals from various sensors to differentiate between sudden starts caused by driver error or electrical malfunctions, ensuring accurate recording of vehicle states during accidents with minimal impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the data recorder is activated to record vehicle states at lower decelerations, then the recording sensitivity is improved, but the data recorder records unnecessary data from road bumps
Solution Approach 1:
The recording trigger is segmented into multiple independent detection parameters: deceleration detection, controlled state detection (accelerator/brake positions), and operating state detection (vehicle speed, engine state). This segmentation allows the system to evaluate multiple conditions simultaneously and trigger recording only when the combination of parameters indicates an actual accident, filtering out false positives from road bumps while maintaining sensitivity to genuine incidents.
2Device complexity
If only deceleration is used to determine recording conditions, then the device complexity is reduced, but the ability to detect sudden starts is insufficient
Solution Approach 1:
The data recorder is designed with multi-functionality by integrating multiple detection capabilities into a single system: deceleration detection, controlled state detection (driver input detection), and operating state detection (vehicle operational parameters). This universal approach allows the same recording system to accurately detect various accident types including sudden starts, collisions, and abrupt maneuvers, improving reliability without requiring separate dedicated systems for each function.
Solution Approach 2:
The system changes from a single-parameter trigger (deceleration only) to a multi-parameter evaluation system that considers deceleration magnitude, controlled state (accelerator/brake position), operating state (vehicle speed, engine state), and their temporal relationships. This parameter transformation enables the system to distinguish between different driving scenarios and accurately identify sudden starts caused by driver error versus electrical malfunctions.
3Loss of information
If the data recorder stores all vehicle states continuously, then the data completeness is improved, but the data storage cost and processing burden increase
Solution Approach 1:
The system performs preliminary evaluation of recording conditions continuously using multiple parameters (deceleration, controlled state, operating state) before triggering actual data storage. By pre-assessing whether an accident condition is present through this multi-parameter filter, the system avoids storing unnecessary data from normal driving maneuvers while ensuring complete capture of relevant accident data, optimizing the balance between data completeness and storage efficiency.
Data Source
AI summary
A data recorder has: a controlled state detecting unit, operable to detect a controlled state of a vehicle by a driver; an operating state detecting unit, operable to detect an operating state of the vehicle; a state recording unit; and a recording condition determination unit, operable to determine whether or not the controlled state and the operating state are recorded in the state recording unit based on at least the controlled state of the controlled and operating states.