PtoP uses SVGD to create diverse, failure-inducing seeds for ADS testing, boosting violation rates by up to 27.68% and diversity by 9.6% over baselines.
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Prospective situation awareness enhancing interfaces delivered via AR HUD improve takeover performance after silent automation failures, with perceptual cues most effective at raising situational awareness and system-intent messages best at building trust.
citing papers explorer
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From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
PtoP uses SVGD to create diverse, failure-inducing seeds for ADS testing, boosting violation rates by up to 27.68% and diversity by 9.6% over baselines.
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From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces
Prospective situation awareness enhancing interfaces delivered via AR HUD improve takeover performance after silent automation failures, with perceptual cues most effective at raising situational awareness and system-intent messages best at building trust.