Remote Light Triggering for Operator Vigilance During Takeover
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Solution Overview
Problem
Automated driving assistance systems face challenges in ensuring vehicle operator vigilance during takeovers, as operators may not be fully mentally ready or engaged due to factors like sleep, distractions, or lack of attention, which can lead to unsafe driving conditions.
Innovation Solution
A vigilance evaluator system that uses light activation requests to assess operator vigilance by detecting responses to brake light activations, determining a measure of operator vigilance, and potentially alerting or invalidating takeovers if criteria are not met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automated driving assistance systems implement takeover requests, then automation capability is improved, but operator vigilance and safety are worsened due to operator distraction or sleep
Solution Approach 1:
The system performs preliminary actions by sending light activation requests to surrounding vehicles before the actual takeover is needed. This creates a readiness test that assesses operator vigilance in advance, ensuring the operator is mentally prepared for takeover without disrupting the automated driving flow.
Solution Approach 2:
The system implements continuous feedback by monitoring operator responses to light activation requests from surrounding vehicles. The response time and reaction patterns are fed back to assess operator vigilance levels, allowing the system to determine when the operator is ready for takeover based on real-time behavioral data.
2Measurement precision
If the system monitors operator response to light activations, then operator vigilance measurement is improved, but system complexity increases
Solution Approach 1:
The system leverages naturally occurring light activation events from surrounding vehicles' brake lights or signal lights as self-service test stimuli. Instead of requiring a dedicated complex testing apparatus, the system uses existing vehicle lighting infrastructure to automatically generate vigilance assessment opportunities.
Solution Approach 2:
The system achieves multi-functionality by using the same light detection infrastructure for both normal automated driving operations and operator vigilance assessment. The camera system and light detection algorithms serve dual purposes: monitoring the driving environment and evaluating operator response to light stimuli.
Data Source
AI summary
System, methods, and other embodiments described herein relate to implementing operator vigilance tests. In one embodiment, a method includes sending from a first vehicle a light activation request to a second vehicle; detecting a light activation by the second vehicle via the first vehicle; and determining a measure of operator vigilance in the first vehicle based on a vehicle operator response to the light activation.


