Dynamic Vehicle Driver Aid Sensitivity Control
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Solution Overview
Problem
Existing vehicle driver aid systems lack dynamic control mechanisms to adjust sensitivity based on driver attentiveness, leading to suboptimal performance when drivers are distracted or inattentive.
Innovation Solution
A method and apparatus using image sensors and processors to determine driver attentiveness by monitoring eye direction and adjusting the sensitivity of vehicle driver aid systems, such as Adaptive Cruise Control and Lane Keeping Aid, inversely proportional to the driver's attentiveness level, with predefined time thresholds for categorizing attentiveness levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the sensitivity of vehicle driver aid systems is increased to compensate for driver distraction, then safety is improved, but false alarms and system overreaction increase
Solution Approach 1:
The system dynamically adjusts the sensitivity threshold of driver aid systems based on real-time driver attentiveness assessment. When the driver is determined to be inattentive (through eye tracking and gaze analysis), the system increases sensitivity to detect potential hazards. When the driver is attentive, the system reduces sensitivity to avoid false alarms. This dynamic adjustment resolves the contradiction by making sensitivity adaptive rather than fixed.
Solution Approach 2:
The system changes the sensitivity parameter of driver aid systems based on the driver's attentiveness state. The sensitivity level is modified as a function of measured driver behavior parameters (eye position, gaze duration, head orientation). This allows the system to optimize detection sensitivity while minimizing false alarms by aligning sensitivity with actual driver monitoring levels.
2Stability of the object's composition
If the sensitivity of vehicle driver aid systems is decreased to reduce false alarms, then system stability is improved, but safety response to real hazards deteriorates
Solution Approach 1:
Rather than using a fixed low sensitivity setting that compromises safety, the system implements dynamic sensitivity adjustment. The sensitivity level transitions between high and low states based on real-time driver attentiveness monitoring. This maintains system stability through predictable behavior while ensuring high safety response when needed (when driver is inattentive).
Solution Approach 2:
The system continuously monitors driver attentiveness and uses this feedback to adjust sensitivity levels. The feedback loop ensures that sensitivity is optimized based on actual driver state, preventing both false alarms and missed hazards. The system responds to driver behavior feedback in real-time to maintain appropriate sensitivity.
3Adaptability or versatility
If driver attentiveness monitoring is continuously performed to enable dynamic sensitivity adjustment, then system adaptability is improved, but computational load and processing time increase
Solution Approach 1:
The system performs driver attentiveness monitoring at periodic intervals rather than continuously at maximum resolution. Eye position and gaze direction are sampled at defined time intervals, and sensitivity adjustments are made based on cumulative assessment over these periods. This reduces computational load while maintaining sufficient adaptability to respond to changes in driver state.
Solution Approach 2:
The system applies partial monitoring action by focusing computational resources on key attentiveness indicators (eye position, gaze duration thresholds) rather than analyzing all possible driver behaviors. By monitoring only the most critical parameters with predefined thresholds, the system achieves adequate adaptability with reduced computational overhead.
Data Source
AI summary
The present application relates to a method of dynamically controlling one or more systems in a vehicle (V). The method uses at least one image sensor (3-1, 3-2) to determine driver attentiveness. The sensitivity of one or more vehicle driver aid systems are then controlled in dependence on the determined driver attentiveness. The present application also relates to a dynamic control apparatus (1); and to a vehicle (V).