Automated Driving Handover Control by Occupant Training Level
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Solution Overview
Problem
Automated driving systems face safety risks due to the uncertainty of a driver's ability to take control of a vehicle when requested, particularly in critical and unplanned situations, as the driver's training level and readiness are not adequately assessed before handing over control.
Innovation Solution
A driving assistance system that determines the training levels of vehicle occupants and assigns control based on these levels, ensuring that the most trained individual takes control in critical situations and less trained individuals in non-critical situations, with the system dynamically reallocating control and providing appropriate instructions for vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If control is handed over to the driver in automated driving mode, then the vehicle can operate autonomously in normal conditions, but safety risks arise when the driver's ability to take control is uncertain
Solution Approach 1:
The system performs preliminary assessment of the driver's training level and readiness before handing over control. The training level determination unit evaluates the driver's capabilities in advance, and the control unit uses this information to decide whether to initiate takeover, thereby ensuring the driver is prepared before control transfer begins
Solution Approach 2:
The system continuously monitors and assesses the driver's training level, providing feedback to the control unit about the driver's readiness. This feedback mechanism allows the system to adapt control transfer decisions based on the driver's current state, improving both automation reliability and safety
2Reliability
If the driver with the highest training level always takes control, then safety in critical situations is maximized, but less trained drivers lose opportunity to improve their skills
Solution Approach 1:
The control assignment is made dynamic rather than static. The control unit adaptively assigns control based on real-time assessment of situation criticality and driver training levels. In non-critical situations, control is assigned to less trained drivers for training purposes, while in critical situations it is assigned to highly trained drivers for safety
Solution Approach 2:
Different quality requirements are applied to different driving situations. Critical situations require high training levels for safety, while non-critical situations allow for lower training levels to enable skill development. The system locally optimizes control assignment based on the specific situation's demands
Data Source
AI summary
A driving assistance system for a vehicle includes at least one operating element for manual vehicle control; a training level determination unit that is configured to determine a first training level of a first vehicle occupant and a second training level of a second vehicle occupant; and a control unit that is configured to assign the at least one operating element for changing from an automated driving mode to a manual driving mode based on the first training level and the second training level to either the first vehicle occupant or the second vehicle occupant.