Collision Avoidance Device Using Motion History Comparison
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Solution Overview
Problem
Existing collision avoidance assistance systems for vehicles often execute assistance too late, leading to unnecessary interventions due to delayed timing determination.
Innovation Solution
A collision avoidance assistance device that determines a planned execution timing based on object detection and acquires motion characteristics, such as jerk and acceleration, to compare with historical values, allowing earlier intervention while minimizing unnecessary assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the collision avoidance assistance determination timing is advanced to enable earlier execution timing, then the execution timing of collision avoidance assistance is improved, but unnecessary collision avoidance assistance may be generated
Solution Approach 1:
The system performs preliminary acquisition of motion characteristics values (jerk, acceleration) in a comparison target time span before the planned execution timing. This preliminary action enables the determination unit to compare current motion characteristics with historical reference values in advance, allowing the system to identify genuine collision risks earlier while filtering out false alarms through statistical comparison.
Solution Approach 2:
The system establishes a feedback mechanism by acquiring historical motion characteristics values and using them as reference for determining whether to execute collision avoidance assistance. The determination unit continuously compares current motion characteristics with historical patterns, creating a closed-loop system that learns from past driving behavior to improve future determination accuracy.
2Measurement precision
If motion characteristics comparison is performed using historical data, then the accuracy of determining necessary assistance is improved, but the device complexity increases
Solution Approach 1:
The system extracts only the essential motion characteristics values (jerk and acceleration) from the vehicle's motion data in the comparison target time span. By focusing on these specific extracted parameters rather than processing all possible vehicle data, the system achieves accurate comparison with historical reference values while keeping the data processing complexity manageable.
3Measurement precision
If the comparison target time span is set to capture sufficient motion characteristics, then the determination accuracy is improved, but the loss of time increases
Solution Approach 1:
The system changes the parameter of time span by defining a specific comparison target time span that extends from the detection timing to a predetermined time before the planned execution timing. This parameter optimization allows sufficient time for acquiring and comparing motion characteristics values while ensuring the comparison is completed early enough to enable timely collision avoidance assistance execution.
Data Source
AI summary
A collision avoidance assistance device includes an object detection unit configured to detect the object, a planned execution timing determination unit configured to determine a planned execution timing, a motion characteristics value acquisition unit configured to acquire a motion characteristics value in a comparison target time span which is a predetermined time span later than a detection timing at which the object detection unit detects the object and prior to the planned execution timing, and a collision avoidance assistance determination unit configured to determine whether or not to execute the collision avoidance assistance at the timing prior to the planned execution timing, based on the result of comparison between the motion characteristics value and a reference motion characteristics value in the comparison target time span obtainable from a history of the past motion characteristics values.