Driver-State Warning Scheduling for Hybrid Driving Mode Transitions
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Solution Overview
Problem
Current systems for autonomous and hybrid vehicles lack effective mechanisms for safe mode switching between autonomous and manual driving modes, particularly in situations where the driver's attention or state may pose a risk, and do not adequately address the transition from manual to autonomous modes.
Innovation Solution
A method and system that utilize a machine with a processor and communication platform to analyze the driver's state and generate tailored warnings for mode transitions, including determining the necessity of mode changes and scheduling warnings to ensure timely task completion, thereby ensuring safe switching between driving modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the vehicle switches from autonomous mode to manual mode, then the driver takes control of the vehicle, but the driver may not be ready or capable of taking control if they are inattentive or asleep
Solution Approach 1:
The system performs preliminary assessment of driver state before allowing mode switching. Sensors detect driver attentiveness, alertness, and readiness in advance of the mode transition request. The system evaluates whether the driver is capable of taking control before completing the switch from autonomous to manual mode, preventing unsafe transitions when the driver is inattentive or asleep.
2Reliability
If the vehicle switches from manual mode to autonomous mode, then the autonomous system takes control, but traditional systems do not adequately address the safety of this transition direction
Solution Approach 1:
The system implements a universal mode switching safety mechanism that handles both transition directions (autonomous-to-manual and manual-to-autonomous) through a unified framework. The same driver state assessment and safety evaluation protocols apply regardless of switching direction, ensuring comprehensive coverage of all mode transition scenarios while maintaining adaptable response based on specific conditions.
3Reliability
If the driver is required to complete multiple tasks during mode transition, then the safety of switching is improved, but the time required for transition increases
Solution Approach 1:
The system implements periodic checkpoints during mode transition where the driver must demonstrate completion of specific tasks at defined intervals. Rather than requiring all tasks to be completed sequentially before transition begins, the system allows progressive transition with periodic verification, reducing overall transition time while maintaining safety through structured task completion requirements.
Data Source
AI summary
The present teaching relates to generating an alert in a vehicle. First information indicating an upcoming switch in an operating mode of the vehicle is received, which specifies a set of tasks, arranged in an order, to be completed by a driver in the vehicle to achieve the upcoming switch, and a task duration for each of the set of tasks by which the task is to be completed. A current state of the driver is obtained and used to determine a set of warnings to alert the driver to perform the set of tasks. Each warning corresponds to a task in the set of tasks and is created based on the current state of the driver. A warning schedule is generated based on the set of warnings in the order of the set of tasks and transmitted so that warnings in the warning schedule are delivered to the driver.