Driver Take-Over Request Control for Level-3 Autonomous Driving
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Solution Overview
Problem
Current autonomous driving systems, particularly Level-3 systems, face challenges in ensuring a safe and smooth transition from autonomous driving to manual driving, as drivers may not be adequately prepared due to prolonged disengagement from driving tasks, leading to potential safety issues.
Innovation Solution
A driving assistance apparatus that detects driver activity and conditions using sensors and determines an appropriate take-over request method, including timing, device, and content, based on the driver's activity and physiological/psychological state to ensure the driver is ready for manual driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous driving system operates for an extended period without driver intervention, then the autonomous driving functionality is improved and maintained, but the driver's situational awareness and readiness for manual driving deteriorate
Solution Approach 1:
The system performs preliminary actions by detecting driver state (attention level, physiological conditions) before the autonomous driving mode needs to be terminated. Based on these detections, the system determines an appropriate take-over request method in advance, ensuring the driver is properly prepared before manual driving is required.
Solution Approach 2:
The system continuously monitors driver state and uses this feedback to adjust the take-over request strategy. By detecting changes in driver attention and physiological conditions, the system can adaptively determine when and how to request driver take-over, maintaining both autonomous operation effectiveness and driver readiness.
2Reliability
If the system provides frequent take-over requests to maintain driver readiness, then the driver's situational awareness is improved, but the autonomous driving operation is interrupted more often
Solution Approach 1:
The system applies partial monitoring and take-over request strategies based on actual driver state. Instead of continuously requesting take-over, the system selectively applies take-over requests only when driver state indicators suggest reduced readiness, achieving sufficient driver awareness with minimal interruptions to autonomous operation.
Solution Approach 2:
The system changes operational parameters (take-over request frequency, request method) based on detected driver state parameters. By adjusting these parameters dynamically according to driver attention and physiological conditions, the system maintains driver readiness while maximizing autonomous driving continuity.
3Measurement precision
If the system uses multiple detection methods to accurately assess driver state, then the accuracy of driver condition assessment is improved, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional detection approach where a single detection apparatus performs multiple detection tasks (attention level, physiological state, driver state). This universal detection system achieves high measurement precision for various driver parameters without proportionally increasing system complexity.
Solution Approach 2:
The system merges multiple detection functions into a unified detection apparatus. By combining attention level detection, physiological state detection, and overall driver state detection into one integrated system, the patent achieves comprehensive driver monitoring with reduced complexity compared to separate dedicated sensors for each parameter.
Data Source
AI summary
Provided is a method for use by a driving assistance apparatus that assists a transition from an autonomous driving mode in which a vehicle is driven under autonomous control to a manual driving mode in which the vehicle is driven by a driver. The method includes: detecting an activity by the driver; detecting conditions of the driver; and determining a take-over request method which is a method of presenting, in the vehicle, a take-over request that informs the driver that the autonomous driving mode is going to be cancelled, the determining being based on at least the detected activity by the driver and the detected conditions.


