45 citations · 84 across the 8 of their papers we have counts for
11 papers
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…
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song, Di Luan, Wenchao Ding +2
Predicting the future trajectories of on-road vehicles is critical for autonomous driving. In this paper, we introduce a novel prediction framework called PRIME, which stands for P…
FP-Stereo: Hardware-Efficient Stereo Vision for Embedded Applications
Jieru Zhao, Tingyuan Liang, Liang Feng +4
Fast and accurate depth estimation, or stereo matching, is essential in embedded stereo vision systems, requiring substantial design effort to achieve an appropriate balance among…
Efficient Uncertainty-aware Decision-making for Automated Driving Using Guided Branching
Lu Zhang, Wenchao Ding, Jing Chen +1
Decision-making in dense traffic scenarios is challenging for automated vehicles (AVs) due to potentially stochastic behaviors of other traffic participants and perception uncertai…
PiP: Planning-informed Trajectory Prediction for Autonomous Driving
Haoran Song, Wenchao Ding, Yuxuan Chen +3
It is critical to predict the motion of surrounding vehicles for self-driving planning, especially in a socially compliant and flexible way. However, future prediction is challengi…
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…