Autonomous Driving System Driver Control Illusion
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Solution Overview
Problem
Existing autonomous driving systems either operate fully autonomously or require driver intervention, leading to an unpleasant loss of control experience, which is not suitable for all drivers, especially those who are handicapped or inexperienced.
Innovation Solution
An autonomous driving system that evaluates surroundings and vehicle data using sensors, allowing drivers to initiate commands through interactions like steering-wheel motions, which are then accommodated by the system to maintain the illusion of complete control, enabling both autonomous and driver-controlled modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the autonomous driving system operates fully autonomously without driver intervention, then the productivity and safety of the driving system are improved, but the driver experiences a loss of control which reduces ease of operation and user-friendliness
Solution Approach 1:
The system dynamically adapts between fully autonomous mode and cooperative mode based on driver input. The steering wheel transitions from being a passive indicator to an active control interface when the driver initiates a maneuver, allowing the system to flexibly switch between automation levels to maintain both efficiency and driver engagement
Solution Approach 2:
The autonomous driving system monitors and interprets driver intentions through steering wheel movements, automatically determining when to transition from autonomous to cooperative mode. The system serves itself by detecting driver cues and autonomously adjusting its level of intervention, eliminating the need for explicit mode-switching commands from the driver
2Reliability
If the driver is required to intervene in critical situations to retake complete control, then the reliability and safety are improved, but the complexity of operation increases and user-friendliness deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously monitoring steering wheel movements and preparing for potential driver interventions. By detecting driver intentions in advance through subtle steering inputs, the system can smoothly transition to cooperative mode before critical situations arise, preventing rather than reacting to safety issues
Solution Approach 2:
The system implements continuous feedback by monitoring driver steering inputs and adjusting its level of autonomy accordingly. This feedback loop allows the system to understand driver intentions and appropriately modulate its control, creating a natural interaction that reduces operational complexity while maintaining safety
Data Source
AI summary
An autonomous driving system for a vehicle, including: a computer unit configured to evaluate surroundings-related and vehicle-related data using sensors and performs an autonomous driving operation based on the data, in which a driver command is initiated by an interaction of the driver and is implemented by the autonomous driving system if this is possible following an evaluation of the data. Also described is a related method.