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Found 7 papers, 3 papers with code
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
In the rapidly evolving field of autonomous driving, accurate trajectory prediction is pivotal for vehicular safety.
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Trajectory prediction is one of the key components of the autonomous driving software stack.
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Motion prediction is essential for safe and efficient autonomous driving.
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
The results indicate that the deep ensemble-based method has advantages in improving prediction robustness and estimating epistemic uncertainty.
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Therefore, this paper proposes the "Self-Surveillance and Self-Adaption System" as a systematic approach to online minimize the SOTIF risk, which aims to provide a systematic solution for monitoring, quantification, and mitigation of inherent and external risks.
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Perception algorithms in autonomous driving systems confront great challenges in long-tail traffic scenarios, where the problems of Safety of the Intended Functionality (SOTIF) could be triggered by the algorithm performance insufficiencies and dynamic operational environment.
SIND: A Drone Dataset at Signalized Intersection in China
Then, the behaviors of traffic light violations in SIND are recorded.
