Takeover Complexity Evaluation for Automated Driving Handoffs
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Solution Overview
Problem
Automated driving assistance systems often issue takeover requests at the boundary of their operational design domain without considering the surrounding environment's complexity, which can be challenging for vehicle operators to handle.
Innovation Solution
Implementing a takeover evaluator system that determines preferred takeover locations based on environmental complexity measures, such as speed limits, lane changes, road types, and traffic conditions, and provides post-takeover complexity notifications to assist operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If takeover requests are issued at the boundary of operational design domain without considering environmental complexity, then the automated driving assistance system can maintain simple takeover logic, but the vehicle operator faces difficulty in handling the takeover due to high environmental complexity
Solution Approach 1:
The system performs preliminary assessment of environmental complexity at potential takeover locations before issuing takeover requests. By evaluating factors such as speed limits, lane changes, road types, and traffic conditions in advance, the system identifies suitable takeover locations with lower environmental complexity, thereby easing the operator's burden when taking control.
Solution Approach 2:
The system introduces an intermediary complexity assessment mechanism between the automated driving system and the operator. This intermediary layer evaluates the environmental complexity and provides post-takeover complexity notifications to the operator, acting as a mediator that translates system state into operator-friendly information about upcoming conditions.
2Ease of operation
If the system evaluates environmental complexity and provides post-takeover complexity notifications, then the operator is better prepared for takeover, but the system complexity increases
Solution Approach 1:
The takeover evaluation system is segmented into distinct functional modules: complexity metric calculation module, suitable takeover location identification module, and notification module. Each module handles a specific aspect of the evaluation process, making the overall system more manageable and maintainable despite the increased functionality.
Solution Approach 2:
The complexity assessment methodology is designed to be universally applicable across different driving scenarios and environments. By developing a general framework that evaluates multiple environmental factors (speed limits, lane changes, road types, traffic conditions), the system achieves multi-functionality without requiring separate specialized systems for each scenario.
3Reliability
If the system identifies suitable takeover locations based on multiple environmental factors, then the takeover safety is improved, but the computation and processing requirements increase
Solution Approach 1:
The system applies local quality assessment by evaluating environmental complexity specifically at potential takeover locations rather than continuously throughout the entire operational domain. This localized evaluation focuses computational resources on critical decision points, improving takeover safety while reducing overall computational energy consumption.
Data Source
AI summary
System, methods, and other embodiments described herein relate to providing post-takeover complexity. In one embodiment, a method includes receiving a potential disengagement event; determining a takeover location based on the potential disengagement event; determining a post-takeover complexity measure based on the takeover location; and generating a notification based on the post-takeover complexity measure.