Adaptive Vehicle Trajectory Control via Driver Deviation Analysis
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Solution Overview
Problem
Modern vehicle assistive systems react to immediate surroundings and do not prevent drivers from entering potentially hazardous situations, leading to negative outcomes due to their reactive nature and lack of proactive control.
Innovation Solution
An adaptive control system that generates expected vehicle inputs based on a driver model and compares them with actual inputs to compute a deviation score, progressively blending automated control with driver inputs to maintain a preferred trajectory and avoid high-risk situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If reactive assistive systems are used to respond to immediate surroundings, then immediate safety response is improved, but the ability to prevent entry into hazardous situations is worsened
Solution Approach 1:
The system performs preliminary action by proactively analyzing the driving trajectory ahead of time and identifying potential hazardous situations before the vehicle enters them. The proactive trajectory analysis module evaluates future path segments and predicts risks in advance, allowing the system to alert the driver or automatically adjust the trajectory before the vehicle reaches dangerous conditions, rather than merely reacting after hazards are encountered.
Solution Approach 2:
The system implements feedback by continuously monitoring driver responses to proactive alerts and using this information to adjust future proactive interventions. The feedback mechanism tracks whether drivers heed proactive warnings and make trajectory adjustments, allowing the system to adapt its alert strategies and intervention thresholds based on actual driver behavior patterns and response effectiveness.
2Manufacturing precision
If automated control is increased to maintain preferred trajectory, then trajectory accuracy is improved, but driver control freedom is worsened
Solution Approach 1:
The system applies partial action by implementing automated trajectory adjustment only to the extent necessary to maintain safe operation. Rather than fully automating control, the system selectively intervenes only when trajectory deviations indicate potential hazards, allowing drivers to maintain freedom for normal driving maneuvers while ensuring safety-critical trajectory accuracy through targeted automated corrections.
Solution Approach 2:
The system embodies dynamics by making the degree of automated control adaptive rather than fixed. The trajectory adjustment mechanism dynamically modifies its level of intervention based on real-time assessment of driver behavior, road conditions, and hazard levels, allowing the automated system to increase or decrease its control influence as circumstances require, thereby balancing trajectory precision with driver autonomy.
Data Source
AI summary
System, methods, and other embodiments described herein relate to dynamically adjusting a vehicle trajectory according to driver deviations. In one embodiment, a method includes generating expected inputs for controlling the vehicle along a segment of a roadway on which the vehicle is traveling by analyzing a present context of the vehicle using a driver model. The expected inputs as controls for operating the vehicle to maintain a preferred trajectory along the segment. The method includes computing a variance of received inputs from the expected inputs by comparing the expected inputs with the received inputs. The method includes controlling the vehicle based, at least in part, on the expected inputs when the deviation score satisfies a deviation threshold indicating that the received inputs are inadequate to maintain the vehicle along the preferred trajectory.