3 citations · 10 across the 8 of their papers we have counts for
8 papers
Uncertainty-Aware Prediction and Application in Planning for Autonomous Driving: Definitions, Methods, and Comparison
Wenbo Shao, Jiahui Xu, Zhong Cao +2
Autonomous driving systems face the formidable challenge of navigating intricate and dynamic environments with uncertainty. This study presents a unified prediction and planning fr…
Towards Safe and Reliable Autonomous Driving: Dynamic Occupancy Set Prediction
Wenbo Shao, Jiahui Xu, Wenhao Yu +2
In the rapidly evolving field of autonomous driving, reliable prediction is pivotal for vehicular safety. However, trajectory predictions often deviate from actual paths, particula…
Self-Aware Trajectory Prediction for Safe Autonomous Driving
Wenbo Shao, Jun Li, Hong Wang
Trajectory prediction is one of the key components of the autonomous driving software stack. Accurate prediction for the future movement of surrounding traffic participants is an i…
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
Wenbo Shao, Yanchao Xu, Jun Li +3
An accurate trajectory prediction is crucial for safe and efficient autonomous driving in complex traffic environments. In recent years, artificial intelligence has shown strong ca…
Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Wenbo Shao, Yanchao Xu, Liang Peng +2
Motion prediction is essential for safe and efficient autonomous driving. However, the inexplicability and uncertainty of complex artificial intelligence models may lead to unpredi…
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Liang Peng, Boqi Li, Wenhao Yu +3
Autonomous driving confronts great challenges in complex traffic scenarios, where the risk of Safety of the Intended Functionality (SOTIF) can be triggered by the dynamic operation…
PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
Liang Peng, Jun Li, Wenbo Shao +1
Perception algorithms in autonomous driving systems confront great challenges in long-tail traffic scenarios, where the problems of Safety of the Intended Functionality (SOTIF) cou…
SIND: A Drone Dataset at Signalized Intersection in China
Yanchao Xu, Wenbo Shao, Jun Li +5
Intersection is one of the most challenging scenarios for autonomous driving tasks. Due to the complexity and stochasticity, essential applications (e.g., behavior modeling, motion…