Driver Capability Profiling for Autonomous Vehicle Handover
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Solution Overview
Problem
Autonomous vehicles may struggle to transition control effectively to human operators due to varying levels of driver capability and environmental conditions, posing safety risks.
Innovation Solution
A system assesses driver capability through a driving capability profile, integrating environmental and human operator parameters to adjust vehicle autonomy levels and notify drivers with tailored alerts based on their responsiveness and alertness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If control is returned to human operator when autonomous navigation is not possible, then vehicle operation can continue under all circumstances, but safety risk increases due to operator inattention and unpreparedness
Solution Approach 1:
The system performs preliminary assessment of the human operator's alertness level and driving capability profile before transferring control. This includes evaluating physiological parameters, recent driving history, and current task engagement to determine if the operator is prepared to assume control, thereby preventing unsafe transfers
2Reliability
If driver capability assessment is implemented, then safety improves through better driver engagement, but system complexity increases due to multiple parameters and evaluation mechanisms
Solution Approach 1:
The system integrates multiple functions into a unified assessment mechanism that simultaneously evaluates alertness level, driving capability profile, environmental factors, and task engagement. This multi-functional approach consolidates what could be separate complex systems into a single integrated safety assessment framework
Solution Approach 2:
The system continuously monitors and updates the driving capability profile based on ongoing assessment of physiological parameters, driving behavior, and response to signals. This feedback mechanism enables dynamic adjustment of control transfer decisions without requiring complex reconfiguration of the system
Data Source
AI summary
A computer-implemented method of assessing driver capability for operating an autonomous vehicle includes identifying a human operator of the autonomous vehicle, the human operator being associated with a driving capability profile. The method further includes signaling to the human operator with the signal, the signal requesting a response from the human operator. The method also includes updating, based on the response from the human operator to the signal, the driving capability profile to indicate a level of skill of the human operator at responding to the signal.