Vehicle Mode Switching via Trajectory Deviation Monitoring
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Solution Overview
Problem
Existing methods for switching between automatic and manual driving modes in vehicles do not adequately ensure that the driver is capable of controlling the vehicle manually, particularly when fatigued, which can lead to accidents.
Innovation Solution
A method that detects a signal for switching to manual driving mode, determines optimal and manually traveled trajectories, compares deviations, and switches back to automatic mode if safety thresholds are exceeded, using sensors to monitor the driver's ability and adapt safety zones based on environmental conditions and driver state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system allows switching to manual driving mode based on driver request or automatic detection, then the driver's autonomy and control freedom are improved, but the risk of accidents increases when the driver is fatigued or incapable of manual control
Solution Approach 1:
The system continuously monitors the driver's capability status through sensors (eye tracking, steering behavior, reaction time) and provides feedback to the control system. This real-time feedback loop enables the system to detect when the driver is fatigued or incapable of manual control, automatically triggering a mode switch back to automatic driving to prevent accidents while preserving driver autonomy when capable.
Solution Approach 2:
The system performs preliminary monitoring of driver status indicators (eye movements, steering patterns, reaction times) before allowing manual mode activation. By assessing driver capability in advance through these preliminary checks, the system ensures the driver is actually capable of controlling the vehicle manually before permitting the mode switch, preventing premature or unsafe transitions to manual control.
2Measurement precision
If the system continuously monitors driver capability and compares trajectories during manual driving, then the safety and detection precision are improved, but the device complexity increases
Solution Approach 1:
The computing unit performs multiple functions using a single integrated system: it determines the optimal trajectory, tracks the actual vehicle trajectory, compares the two trajectories for deviations, monitors driver capability through multiple sensor inputs, and controls mode switching. This multi-functional approach achieves high measurement precision for trajectory deviation detection without proportionally increasing device complexity, as one computing unit handles all these tasks.
Solution Approach 2:
The system merges the trajectory calculation function, trajectory comparison function, and driver monitoring function into a unified control process. By combining these functions that operate simultaneously during manual driving mode, the system achieves comprehensive safety monitoring and precise deviation detection without the overhead of separate independent systems, thereby managing complexity while maintaining high measurement precision.
Data Source
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AI summary
The invention relates to a method and a device for controlling the switchover between an automatic driving mode and a manual driving mode of a vehicle. First, a signal for switching over into the manual driving mode of the vehicle is detected (110) and then a manual driving mode of the vehicle is initiated (120). During the manual driving mode a determined (170) optimal trajectory of the vehicle is continuously compared (230) with a determined (180) manually travelled trajectory of the vehicle. Depending on the comparison, a deviation of the manually travelled trajectory from the optimal trajectory is then determined. Depending on the determined deviation, a switchover is then made (260) into the automatic driving mode of the vehicle, or the continuous determination of the manually travelled trajectory and the continuous determination of the optimal trajectory of the vehicle in the manual driving mode is ended (280).