27 citations · 37 across the 10 of their papers we have counts for
10 papers
Legal Decision-making for Highway Automated Driving
Xiaohan Ma, Wenhao Yu, Chengxiang Zhao +9
Compliance with traffic laws is a fundamental requirement for human drivers on the road, and autonomous vehicles must adhere to traffic laws as well. However, current autonomous ve…
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…
Planning Automated Driving with Accident Experience Referencing and Common-sense Inferencing
Shaobo Qiu, Ji Li, Guoxi Chen +2
Although a typical autopilot system far surpasses humans in term of sensing accuracy, performance stability and response agility, such a system is still far behind humans in the wi…
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…
A Holistic Robust Motion Controller Framework for Autonomous Platooning
Hong Wang, Li-Ming Peng, Zi-Chun Wei +4
Safety is the foremost concern for autonomous platooning. The vehicle-to-vehicle (V2V) communication delay and the sudden appearance of obstacles will trigger the safety of the int…
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles
Jiaxin Liu, Wenhui Zhou, Hong Wang +6
Self-driving vehicles have their own intelligence to drive on open roads. However, vehicle managers, e.g., government or industrial companies, still need a way to tell these self-d…