2 citations · 5 across the 7 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023★ 2 cited
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…
cs.CV2022
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…
cs.CV2022
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…