ADAS Gaze-Aware Collision Avoidance for False Alarm Control
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Solution Overview
Problem
Advanced Driver Assistance Systems (ADAS) face challenges in determining whether to trigger safety actions due to uncertainty in detecting potential obstacles, especially in complex scenarios where drivers may not be fully attentive or aware of hazards.
Innovation Solution
The integration of user gaze tracking sensors with ADAS systems to determine the user's alertness and attention towards potential obstacles, adjusting the ADAS's operation and alert thresholds based on the user's gaze proximity and reaction, thereby enhancing safety and reducing unnecessary interventions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ADAS systems use sensors to detect potential obstacles, then the system can identify hazards, but the system cannot adequately determine whether to trigger safety actions due to driver alertness uncertainty
Solution Approach 1:
The patent introduces a driver monitoring system with gaze tracking sensors as an intermediary between the obstacle detection system and the safety action trigger. This mediator assesses driver alertness and attention, providing the missing information about driver state to resolve the uncertainty in determining whether to trigger safety actions.
Solution Approach 2:
The system implements feedback by continuously monitoring driver gaze direction and alertness level, then using this information to dynamically adjust the ADAS response threshold. When the driver is determined to be inattentive or not looking at the obstacle, the system triggers safety actions at lower confidence levels, creating a closed-loop control system that adapts to driver state.
2Reliability
If ADAS systems trigger safety actions frequently to ensure safety, then more hazards are addressed, but false alarms increase reducing system reliability
Solution Approach 1:
The system dynamically adjusts the safety action trigger threshold based on real-time driver alertness assessment. When the driver is determined to be attentive and looking at the obstacle, the trigger threshold is raised to prevent false alarms. When the driver is inattentive, the threshold is lowered to ensure safety actions are triggered, creating a dynamic adaptation mechanism that resolves the contradiction between avoiding false alarms and ensuring safety.
3Measurement precision
If ADAS systems reduce intervention thresholds to catch all potential hazards, then more obstacles are detected, but unnecessary interventions increase
Solution Approach 1:
The system applies different detection sensitivity thresholds to different driving contexts based on local driver state conditions. Instead of using a uniform threshold, the system creates localized adaptation where the trigger sensitivity is adjusted according to the specific driver alertness level and gaze direction, allowing high sensitivity when needed and low sensitivity when the driver is attentive.
Data Source
AI summary
The disclosure is directed to systems and methods for operating or controlling an ADAS mechanism. A first sensor of an ADAS mechanism can determine a potential obstacle to a vehicle, and a position of the potential obstacle relative to the first sensor. A second sensor can determine a gaze angle of a user of the vehicle. An activation engine in communication with the first sensor and the second sensor can determine a proximity of the gaze angle of the user to the determined position of the potential obstacle. The activation engine can control, in response to the determined proximity, an operation of the ADAS mechanism for responding to the potential obstacle.