ADAS Curve Speed Control Using Driver Lateral Acceleration Feedback
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Solution Overview
Problem
Drivers may perceive the proposed curve speeds of advanced driver-assistance systems as too high or too low, leading to reduced trust and willingness to use these systems, which can compromise vehicle safety and driver experience.
Innovation Solution
A method and control arrangement that adjust the target maximum lateral acceleration of the advanced driver-assistance system based on monitored and expected lateral accelerations, considering driver behavior, to improve alignment with driver preferences and enhance trust and willingness to use the system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the advanced driver-assistance system uses a fixed target maximum lateral acceleration, then the system structure is simple, but the driver experience and trust are reduced when the proposed speeds do not match driver expectations
Solution Approach 1:
The system dynamically adjusts the target maximum lateral acceleration parameter based on monitored driver behavior and expected lateral acceleration, transforming a static parameter into a dynamic one that adapts to individual driver preferences and conditions
Solution Approach 2:
The system monitors its own performance by comparing obtained lateral acceleration with expected lateral acceleration, and automatically adjusts parameters without requiring manual driver input or calibration
2Ease of operation
If the advanced driver-assistance system proposes curve speeds based on standard calculations, then the system is easy to operate, but the driver may perceive the speeds as too high or too low, reducing willingness to use
Solution Approach 1:
The system implements a feedback loop where driver behavior during curve negotiation is monitored, compared with expected behavior, and used to adjust the target maximum lateral acceleration for future operations
Solution Approach 2:
The system changes the control parameter (target maximum lateral acceleration) based on observed driver behavior patterns, allowing the system to adapt to individual driver preferences while maintaining ease of operation
3Reliability
If the advanced driver-assistance system deactivates when driver expectations are not met, then the system maintains safety, but the driver does not take advantage of the safety benefits
Solution Approach 1:
The system performs preliminary adjustments to the target maximum lateral acceleration based on monitored driver behavior before potential deactivation occurs, ensuring the system remains aligned with driver expectations and maintains continuous operation
Data Source
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AI summary
A control arrangement (100) and a method for controlling an advanced driver-assistance system (200) of a vehicle (1), said advanced driver-assistance system (200) being configured to automatically control vehicle speed and/or propose an appropriate action to a driver based on one or more control parameters including a target maximum lateral acceleration. The method comprises monitoring an obtained lateral acceleration of the vehicle (1) resulting from driver behavior when the vehicle travels one or more curves (24a, 24b) of a road section (22, 24). The method further comprises determining an expected lateral acceleration of the vehicle for said one or more curves (24a, 24b) based on a current target maximum lateral acceleration of the advanced driver-assistance system (200), and adjusting the target maximum lateral acceleration of the advanced driver-assistance system (200) in consideration of said driver behavior when the obtained lateral acceleration deviates from the expected lateral acceleration by at least a predefined threshold.