Driving Support System Adaptive Collision Threshold
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Solution Overview
Problem
Existing driving support systems face challenges in starting collision avoidance support at appropriate times, often leading to either delayed activation or unnecessary activation due to difficulties in setting the right threshold conditions, especially when pedestrians or other vehicles are present on the lane.
Innovation Solution
A driving support system that includes an object detecting unit, a determining unit, a starting unit, an area detecting unit, and an adjusting unit to adjust the sensitivity of collision probability determination based on the positional relationship and moving direction of objects, allowing for timely and appropriate activation of collision avoidance support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the threshold for starting driving support is set low to detect objects early, then the driving support can start at appropriate timing, but the driving support may activate needlessly when objects like guardrails are present in curve areas
Solution Approach 1:
The patent applies local quality by adjusting the sensitivity threshold dynamically based on the local characteristics of the detection area. When an object is detected in a curve area (identified by camera image analysis of road geometry), a higher threshold is applied specifically to that region, preventing needless activation while maintaining early detection capability in straight road sections.
Solution Approach 2:
The patent implements dynamics by making the start condition threshold variable rather than fixed. The threshold automatically adjusts based on detected environmental factors such as curve detection from camera images, allowing the system to adapt its sensitivity to current driving conditions and avoid false positives in specific locations.
2Reliability
If the threshold for starting driving support is set high to prevent needless activation, then false alarms are reduced, but the start condition is difficult to satisfy even when pedestrians or vehicles are present
Solution Approach 1:
The patent applies local quality by implementing region-specific threshold adjustments. High thresholds are applied in curve areas where needless activation is likely, while lower thresholds are maintained in straight road sections where early detection is critical, thus preventing false alarms without delaying necessary activation.
Solution Approach 2:
The patent implements dynamics by making the threshold adaptive rather than static. The system continuously monitors environmental conditions and adjusts the start condition threshold in real-time, lowering it when conditions favor early detection and raising it when conditions suggest potential false positives.
Data Source
AI summary
A driving support system detects a target area ahead of the vehicle, a position or a moving direction, etc. of an object such as a pedestrian or another vehicle by using a camera or radar, as well as determines a probability of collision between the own vehicle and the object based on the position, etc. of the object, and performs a driving support for avoiding the collision when the probability of the collision is high. Further, a sensitivity of determination is set high when the object remains in the target area, or when the object is moving towards the target area, while the sensitivity is set low when the object is not present in the target area, or the object is moving away from the target area.