2 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
Integrated Decision Making and Trajectory Planning for Autonomous Driving Under Multimodal Uncertainties: A Bayesian Game Approach
Zhenmin Huang, Tong Li, Shaojie Shen +1
Modeling the interaction between traffic agents is a key issue in designing safe and non-conservative maneuvers in autonomous driving. This problem can be challenging when multi-mo…
Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations
Tong Li, Lu Zhang, Sikang Liu +1
Navigating dense and dynamic environments poses a significant challenge for autonomous driving systems, owing to the intricate nature of multimodal interaction, wherein the actions…
MARC: Multipolicy and Risk-aware Contingency Planning for Autonomous Driving
Tong Li, Lu Zhang, Sikang Liu +1
Generating safe and non-conservative behaviors in dense, dynamic environments remains challenging for automated vehicles due to the stochastic nature of traffic participants' behav…
An Efficient Spatial-Temporal Trajectory Planner for Autonomous Vehicles in Unstructured Environments
Zhichao Han, Yuwei Wu, Tong Li +8
As a core part of autonomous driving systems, motion planning has received extensive attention from academia and industry. However, real-time trajectory planning capable of spatial…