Autonomous Vehicle Trajectory Correction for Driver-Aligned Steering
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Solution Overview
Problem
Existing autonomous vehicle steering systems do not optimize driver and passenger comfort, and driver confidence remains limited due to differences between the vehicle's theoretical and actual paths, leading to unpredictable lateral accelerations and discomfort.
Innovation Solution
A method for determining a vehicle path that includes computing a first theoretical path, measuring the actual path, calculating a correction factor, and computing a personalized path based on the correction factor, allowing the vehicle to adapt to the driver's habits and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the vehicle follows a theoretical path computed by the electronic control unit, then the path control precision is improved, but the driver comfort deteriorates due to unpredictable lateral accelerations and differences from expected driving behavior
Solution Approach 1:
The system records the driver's actual steering inputs and path choices during manual driving phases, then uses this feedback to compute a correction factor that adjusts the theoretical path. This feedback loop allows the system to learn and adapt to the driver's preferences, transforming the rigid theoretical path into a personalized path that maintains precision while improving comfort and predictability.
Solution Approach 2:
The system changes the path parameters by applying a correction factor to the theoretical path based on observed driver behavior. This parameter adjustment transforms the original theoretical path into a personalized path that reflects the driver's steering style and preferences, thereby resolving the contradiction between precision and comfort.
2Extent of automation
If the vehicle follows a theoretical path computed by the electronic control unit, then the automation performance is improved, but the driver confidence deteriorates due to surprising and uncomfortable behavior differences
Solution Approach 1:
The system modifies the theoretical path parameters by applying a correction factor derived from the driver's manual driving behavior. This creates a personalized path that maintains the benefits of automation while aligning with the driver's expectations and confidence levels.
Solution Approach 2:
The system performs self-learning by automatically recording driver behavior during manual phases and using this information to generate correction factors. This self-service capability allows the system to continuously improve its performance and build driver confidence without requiring explicit programming or reconfiguration by the user.
3Object-affected harmful factors
If the vehicle adapts to driver preferences by computing a personalized path, then the driver comfort is improved, but the system complexity increases due to additional computation and data storage requirements
Solution Approach 1:
The system manages complexity by focusing on parameter changes rather than complete path redesign. By computing a correction factor that adjusts key path parameters based on driver behavior, the system achieves personalization with minimal additional computational burden compared to generating entirely new paths.
Data Source
AI summary
A method for determining a trajectory of an autonomous vehicle includes a first phase that is carried out while the trajectory of the vehicle is controlled manually. The first phase includes calculating a first theoretical trajectory of the vehicle, measuring a trajectory actually followed by the vehicle, and calculating a correction factor. Calculating the correction factor includes a comparison of the first theoretical trajectory with the trajectory actually followed. The method also includes a second phase that is carried out while the trajectory of the vehicle is controlled autonomously. The second phase includes calculating a second theoretical trajectory of the vehicle, and calculating a customised trajectory of the vehicle. Calculating the customised trajectory is based on the second theoretical trajectory and on the correction factor.