Lane Support Control Using Driver Inattention and Intended Path
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Solution Overview
Problem
Conventional Lane Support Systems (LSS) in ADAS-equipped vehicles often intervene at inappropriate times, leading to driver dissatisfaction and reduced safety benefits due to unwarranted or unnecessary interventions, prompting a need for improved steering support solutions that can differentiate between intentional and unintentional lane departures.
Innovation Solution
A method for controlling a lane support system that assesses a driver's awareness by determining an intended path and computing unintended lateral deviations based on changes in steering wheel angle and road geometry, activating the system only when deviations exceed a threshold, thereby reducing false interventions and enhancing safety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional Lane Support Systems intervene frequently to prevent lane departures, then road safety is improved, but driver dissatisfaction increases and system reliability decreases due to unwarranted interventions
Solution Approach 1:
The system changes the parameter of intervention criteria by introducing driver awareness state as a conditional parameter. The LSS only activates when the driver is determined to be in an inattentive state, transforming the intervention logic from geometry-based alone to a combined state-based decision model, thereby reducing false interventions while maintaining safety.
Solution Approach 2:
The system implements feedback by continuously monitoring driver awareness state through gaze detection and attention tracking. This feedback loop allows the system to adaptively determine when intervention is appropriate, creating a closed-loop control mechanism that reduces unwarranted activations while maintaining road safety through context-aware decision making.
2Reliability
If Lane Support Systems activate frequently to correct lane position, then lane departure prevention is improved, but driver satisfaction deteriorates due to inappropriate interventions
Solution Approach 1:
The system introduces driver awareness state as a new conditional parameter for intervention activation. By changing the activation criteria from purely geometric (lane position deviation) to a combined parameter set including driver state (inattentive vs. attentive), the system achieves more appropriate intervention timing that respects driver intent and improves satisfaction.
Solution Approach 2:
The system performs preliminary assessment of driver awareness state before activating lane support intervention. By evaluating driver attention level and gaze direction in advance, the system determines the appropriateness of intervention, preventing dissatisfaction-causing activations while maintaining effective lane departure prevention when truly needed.
3Reliability
If Lane Support Systems intervene in all lane departure scenarios, then safety coverage is improved, but system complexity increases due to need to differentiate intentional vs unintentional departures
Solution Approach 1:
The system introduces driver awareness state monitoring as an intermediary layer between lane position detection and intervention activation. This intermediary assessment of driver intent simplifies the decision logic by providing a clear binary state (attentive/inattentive) that mediates whether geometric lane deviation should trigger intervention, reducing the complexity of differentiating intentional vs unintentional departures.
Solution Approach 2:
The system changes the intervention decision parameter from complex multi-factor analysis to a simpler state-based parameter. By using driver awareness state as the primary gating parameter, the system reduces computational complexity while maintaining comprehensive safety coverage, as the awareness state parameter efficiently captures the intent differentiation needed for appropriate intervention.
Data Source
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AI summary
A computer-implemented method and a device for controlling a lane support system of a vehicle are disclosed. The method comprises obtaining data indicative of a driver of the vehicle being in an inattentive state, and determining an intended path of the driver at a point in time when the driver enters the inattentive state. The method further comprise determining an unintended lateral deviation from the intended path by computing a function representative of a lateral deviation from the intended path of the driver. Moreover, the function is dependent upon at least one of a change in steering wheel angle while the driver is in the inattentive state, and a change in road geometry along the vehicle's traveling direction while the driver is in the inattentive state. The method further comprises activating the lane support system when the determined unintended lateral deviation violates a threshold value, wherein the lane support system is configured to output a warning to the driver and/or to execute an intervention so to control a steering of the vehicle upon detection of a lane departure of the vehicle.