Vehicle Collision Determination System Using Behavior Recognition
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Solution Overview
Problem
Existing vehicle collision determination systems are costly due to the high number of sensors required and inaccurate collision detection, as they do not consider vehicle behavior, leading to unnecessary activation of passenger protection devices in situations like opening a door impacting a stationary obstacle.
Innovation Solution
A collision determination system that includes a vehicle behavior recognition unit to identify probable collision behaviors and a collision detection sensor to detect state changes, with a collision determination unit that activates the passenger protection device based on both vehicle behavior and environmental inputs, reducing the number of sensors and processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple collision sensors are installed to improve detection reliability, then collision detection accuracy is improved, but system cost and device complexity increase
Solution Approach 1:
The patent combines multiple detection functions into a single sensor system. The collision detection sensor integrates both the primary collision detection function and the safing function into one sensor, eliminating the need for separate sensors for each function. This merging reduces the total number of sensors while maintaining reliable collision detection capability.
Solution Approach 2:
The collision detection sensor is designed to perform multiple functions: it detects both the primary collision event and serves as a safing sensor for redundancy. This multi-functional design allows one sensor to replace what would traditionally require two or more sensors, reducing system complexity while maintaining reliability.
2Reliability
If multiple collision sensors are installed to improve detection reliability, then collision detection accuracy is improved, but microcomputer processing load increases
Solution Approach 1:
By merging the detection functions into a single sensor, the amount of data processing required by the microcomputer is significantly reduced. Instead of processing signals from multiple separate sensors, the microcomputer only needs to process output from one integrated sensor, thereby reducing processing load while maintaining detection reliability.
3Speed
If collision detection relies solely on sensor output without considering vehicle behavior, then detection speed is improved, but measurement precision deteriorates due to false positives
Solution Approach 1:
The system performs preliminary assessment of vehicle behavior before final collision determination. By evaluating vehicle behavior patterns (such as door opening status, seat belt status, airbag status) before processing sensor signals, the system can quickly eliminate false collision scenarios without requiring complex real-time analysis, thus maintaining fast response while improving accuracy.
Solution Approach 2:
The determination circuit continuously monitors vehicle behavior parameters and uses this feedback to adjust collision determination logic. When vehicle behavior indicates a false collision scenario (e.g., door opening while vehicle is stationary), the system adjusts its determination criteria to prevent false activation, thereby improving measurement precision while maintaining detection speed.
Data Source
AI summary
A collision determination system for a vehicle is disclosed. The system includes a vehicle behavior recognition unit that recognizes specific vehicle behavior indicative of a probable vehicle collision. The system also includes a collision detection sensor that detects a predetermined state change resulting from a vehicle collision. Furthermore, the system includes a collision determination unit that determines whether the vehicle collision necessitates activation of a vehicle passenger protection device based on the specific vehicle behavior recognized by the vehicle behavior recognition unit and the detected predetermined state change.


