Driving Supporter Dynamic Threshold Adjustment for Road Unevenness
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Solution Overview
Problem
Existing driving supporters often inhibit lane departure prevention systems unnecessarily due to large road unevenness, causing driver frustration and system inefficiency, as the inhibition threshold value is set based on road conditions rather than driver intent.
Innovation Solution
A driving supporter that dynamically adjusts the inhibition threshold value based on road surface unevenness and driver steering intentions, ensuring the system is only inhibited when the driver's actions clearly indicate a lane change or parking, while prioritizing road surface conditions to prevent false inhibitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the inhibition threshold value is set to a smaller value to improve recognition of driver's intention, then the system can more accurately detect driver intent for lane change or parking, but the system will be unnecessarily inhibited when road input is large due to road surface unevenness
Solution Approach 1:
The patent dynamically changes the inhibition threshold value based on road input magnitude. When road input is large (indicating rough road surface), the threshold is increased to prevent false inhibition. When road input is small (smooth road), the threshold is decreased to improve detection sensitivity. This adaptive parameter adjustment resolves the contradiction between detection accuracy and false inhibition rate.
Solution Approach 2:
The patent introduces road input as an intermediary parameter to mediate between steering operation value and inhibition decision. By using road input to modulate the threshold value, the system can distinguish between steering operations caused by driver intent versus those caused by road surface unevenness, thereby reducing false inhibitions while maintaining accurate detection capability.
2Reliability
If the inhibition threshold value is set to a larger value to avoid false inhibition due to road input, then the system maintains stability on rough roads, but the system fails to detect genuine driver intentions for lane change or parking
Solution Approach 1:
The patent dynamically adjusts the inhibition threshold based on road input conditions. On rough roads with large road input, the threshold is raised to prevent false inhibition. On smooth roads with small road input, the threshold is lowered to ensure accurate detection of driver intent. This dynamic parameter adaptation resolves the contradiction between reliability and detection precision.
3Productivity
If the driving support system is inhibited frequently due to road surface unevenness, then false inhibitions occur reducing system efficiency, but the system cannot distinguish between road input and genuine driver steering operations
Solution Approach 1:
The patent uses road input as an intermediary to improve the system's ability to distinguish between genuine driver steering operations and steering operations caused by road surface unevenness. By comparing the steering operation value against a dynamically adjusted threshold based on road input, the system can filter out false triggers while maintaining sensitivity to actual driver intent, thereby improving operational efficiency without sacrificing detection accuracy.
Data Source
AI summary
A driving supporter is configured to perform support of driving such that an own vehicle drives within a lane. The driving supporter includes: a support inhibitor configured to inhibit the support of the driving when an absolute value of a steering operation value representing a magnitude of a steering operation performed by a driver is greater than an inhibition threshold value. The support inhibitor includes: a road-surface-unevenness obtainer configured to obtain a degree of unevenness of a road surface on which the own vehicle is running; and a road-surface-unevenness-dependent threshold-value determiner configured to determine the inhibition threshold value to a larger value when the degree of the unevenness of the road surface which is obtained by the road-surface-unevenness obtainer is large than when the degree of the unevenness of the road surface which is obtained by the road-surface-unevenness obtainer is small.