Steering Wheel Takeover Threshold Control for Adaptive Handover
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Solution Overview
Problem
Current intelligent driving methods rely on a fixed takeover threshold set by a skilled person, which fails to adapt to various driving scenarios and environments, leading to inadequate intelligence and poor user experience during vehicle handover.
Innovation Solution
Adaptive determination of the takeover threshold based on vehicle status information, such as speed and environmental factors, allowing for dynamic adjustment to suit different conditions, and the use of intervention coefficients to smoothly transition control from the vehicle to the driver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed takeover threshold is used, then the control logic is simple, but the system cannot adapt to different driving scenarios and environments
Solution Approach 1:
The takeover threshold is transformed from a fixed value to a dynamic value that changes based on vehicle status. The system determines the takeover threshold according to current vehicle status information, enabling the threshold to adapt to different driving scenarios such as varying speeds and environmental conditions, thereby resolving the contradiction between adaptability and complexity
Solution Approach 2:
The system changes the parameter of the takeover threshold based on vehicle status information. By determining different threshold values according to current vehicle conditions, the system achieves adaptability to different driving scenarios while maintaining a relatively simple control framework
2Extent of automation
If the takeover threshold is adjusted dynamically, then the intelligence of the system is improved, but the calculation complexity increases
Solution Approach 1:
The system determines the takeover threshold autonomously based on vehicle status information without requiring external intervention or complex manual calculations. The control unit automatically processes the vehicle status data and determines appropriate threshold values, improving intelligence while keeping the calculation process integrated and efficient
Solution Approach 2:
The system uses vehicle status information as feedback to continuously adjust the takeover threshold. By monitoring current vehicle conditions and determining appropriate thresholds based on this feedback, the system achieves high intelligence with a relatively streamlined calculation approach
3Ease of operation
If a fixed threshold is used, then the response is fast, but the user experience is poor during handover
Solution Approach 1:
The system prepares vehicle status information continuously and determines the takeover threshold in advance based on current conditions. This preliminary determination allows for smooth handover transitions without significant delays, as the threshold is already established based on the vehicle's status before handover is initiated
Data Source
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AI summary
An intelligent driving method and a related apparatus are provided, and relate to the field of intelligent driving technologies. The method includes: obtaining vehicle status information; and when a vehicle needs to be taken over by a driver, determining a takeover threshold on a steering wheel based on the vehicle status information, where when a torque value applied by the driver to the steering wheel is greater than the takeover threshold, a driving direction of the vehicle is completely controlled by the driver. The takeover threshold on the steering wheel may be determined with reference to the vehicle status information of the vehicle in a driving process. Therefore, the takeover threshold on the steering wheel may vary with a vehicle status. For example, the takeover threshold may vary with a vehicle speed, and accordingly, difficulty for the driver in taking over the steering wheel may also vary. Therefore, the takeover threshold on the steering wheel determined with reference to the vehicle status information is no longer limited to a fixed takeover threshold, and may be adaptively adjusted based on different vehicle status information, to adapt to more driving scenarios and environments. In this way, intelligence is high.