Adaptive ADAS Thresholds for Distracted Driver Detection
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Solution Overview
Problem
Advanced driver-assistance systems (ADASs) in vehicles do not effectively account for driver distraction from external sources, such as cell phone use or interactions with infotainment systems, which can impact their operation and safety performance.
Innovation Solution
A system and method that includes a subsystem for sensing driver interaction with electrical devices within the vehicle, an electronic processor to determine driver attentiveness, and adjustment of activation thresholds for ADASs based on this information, such as sensor fusion confidence, object classification confidence, and lane association thresholds, to control vehicle operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ADAS activation thresholds are set to standard levels, then false alarms are reduced and system reliability is maintained, but safety performance deteriorates when drivers are distracted
Solution Approach 1:
The patent implements dynamic adjustment of ADAS activation thresholds based on real-time driver distraction detection. When the driver distraction detection system identifies distracted driving behavior, the system automatically lowers the activation thresholds for ADAS features, enabling earlier and more sensitive intervention. This dynamic adaptation resolves the contradiction by making thresholds flexible rather than fixed, allowing the system to maintain high reliability during normal operation while enhancing safety performance during distraction events.
Solution Approach 2:
The system changes the operational parameters of ADAS by adjusting activation thresholds in response to detected driver distraction states. Specifically, when distraction is detected, the activation thresholds are modified to be more sensitive, allowing the system to trigger warnings or interventions at lower risk levels. This parameter change enables the system to adapt its safety criteria based on driver state, simultaneously maintaining reliability through controlled adjustments while reducing collision risk during distraction.
2Object-affected harmful factors
If ADAS activation thresholds are lowered to improve safety during distraction, then collision avoidance capability is enhanced, but false alarms increase and system reliability deteriorates
Solution Approach 1:
The system dynamically adjusts thresholds only during confirmed distraction events rather than maintaining permanently low thresholds. This temporal dynamics ensures that sensitive activation levels are applied selectively when needed (during distraction) while returning to standard reliable operation when the driver is attentive, thus enhancing safety during critical periods without compromising overall system reliability.
Solution Approach 2:
The activation thresholds are temporarily modified based on driver distraction detection results. When distraction is detected, parameters are changed to enable more sensitive detection and earlier intervention. When distraction is not detected, standard thresholds are maintained. This conditional parameter change strategy allows the system to improve collision avoidance during distraction while avoiding the reliability degradation that would result from permanently lowered thresholds.
3Object-affected harmful factors
If driver distraction monitoring is added to ADAS systems, then safety performance during distraction is improved, but device complexity increases
Solution Approach 1:
The driver distraction detection system leverages existing vehicle sensors and processing infrastructure to perform multiple functions: detecting driver state, determining distraction levels, and triggering threshold adjustments. By making the detection system multi-functional and integrating it with existing ADAS components rather than adding completely separate systems, the patent reduces the complexity increase that would otherwise result from adding dedicated monitoring hardware and software.
Solution Approach 2:
The patent merges the driver distraction detection functionality with the existing ADAS architecture. Rather than implementing distraction monitoring as a separate independent system, the detection mechanisms, processing logic, and control actions are integrated into the existing sensor fusion and decision-making frameworks of the ADAS, thereby reducing overall system complexity while still achieving improved safety performance during distraction.
Data Source
AI summary
System and methods for a vehicle for determining driver distraction and adapting the operation of driving assistance systems. One example system includes a subsystem for sensing driver interaction with electrical devices located within a passenger compartment of the vehicle, a first sensor configured to sense conditions outside of the vehicle, a second sensor configured to sense conditions outside of the vehicle, and an electronic controller. The electronic controller is configured to determine a state of driver attentiveness based on driver interactions, provide the driver attentiveness state to a driver assistance system, determine a threshold of the driver assistance system based on the state of driver attentiveness by adjusting at least one of a sensor fusion confidence threshold, an object classification confidence threshold, a lane association threshold, blind spot detection threshold, or lane detection warning threshold; and control the vehicle via the driver assistance system operated in accordance with the threshold.