Adaptive Lane Keep Assist with Risk-Based Intervention Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Automated driver-assistance systems, such as lane keep assist systems, often fail to match vehicle occupants' expectations in varying driving conditions, leading to inconsistent performance and occupant discomfort due to inadequate adaptation to driver preferences, vehicle state, and environmental conditions.
Innovation Solution
An adaptive lane keep assist system that calculates a risk index based on driver engagement, vehicle state, and environmental factors to dynamically adjust intervention thresholds and vehicle paths, using sensors like cameras and driver monitoring systems to ensure smooth and comfortable vehicle control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automated driver-assistance systems use fixed intervention thresholds for lane keep assist, then the system operation is simple, but the system fails to adapt to varying driver preferences, vehicle states, and environmental conditions leading to inconsistent performance and occupant discomfort
Solution Approach 1:
The patent implements dynamic intervention thresholds that automatically adjust based on real-time detection of driver engagement levels, vehicle operational states, and environmental conditions. The system transitions from static to dynamic control parameters, allowing the lane keep assist to adapt its intervention behavior without requiring complex manual reconfiguration or multiple pre-programmed modes.
Solution Approach 2:
The system continuously monitors driver engagement through steering wheel torque sensors, driver attention through camera-based eye tracking, and vehicle state through various sensors. This feedback loop enables the system to calculate a risk index and adjust intervention thresholds in real-time, creating a closed-loop control system that adapts to changing conditions while maintaining consistent and predictable behavior.
2Measurement precision
If the system increases intervention sensitivity to improve lane keeping precision, then lane keeping accuracy improves, but occupant comfort decreases due to overly aggressive corrections
Solution Approach 1:
The patent dynamically adjusts the intervention threshold parameter based on the calculated risk index. When driver engagement is high and conditions are favorable, the threshold decreases allowing for more precise intervention. When driver engagement is low or conditions are challenging, the threshold increases to provide smoother, less aggressive corrections. This parameter adaptation resolves the contradiction by making intervention sensitivity context-dependent rather than fixed.
Data Source
AI summary
The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus are operative for detecting, by a vehicle sensor, a distance from a host vehicle to a lane edge, determining a status of a vehicle system, calculating, by a processor, a risk index in response to the status of the vehicle system, calculating, by the processor, an intervention threshold in response to the risk index, generating, by the processor, a vehicle path in response to the distance of the host vehicle to the lane edge being less than the intervention threshold, and controlling the vehicle, by a vehicle controller, in response to the vehicle path.