7 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.RO2021★ 1 cited
Trajectory Prediction with Graph-based Dual-scale Context Fusion
Lu Zhang, Peiliang Li, Jing Chen +1
Motion prediction for traffic participants is essential for a safe and robust automated driving system, especially in cluttered urban environments. However, it is highly challengin…
cs.RO2021★ 7 cited
EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environments
Wenchao Ding, Lu Zhang, Jing Chen +1
In this paper, we present an Efficient Planning System for automated vehicles In highLy interactive envirONments (EPSILON). EPSILON is an efficient interaction-aware planning syste…
cs.RO2019★ 5 cited
Safe Trajectory Generation for Complex Urban Environments Using Spatio-temporal Semantic Corridor
Wenchao Ding, Lu Zhang, Jing Chen +1
Planning safe trajectories for autonomous vehicles in complex urban environments is challenging since there are numerous semantic elements (such as dynamic agents, traffic lights a…