20 citations · 46 across the 28 of their papers we have counts for
5 papers · 1 filter
Outracing Human Racers with Model-based Planning and Control for Time-trial Racing
Ce Hao, Chen Tang, Eric Bergkvist +4
Autonomous racing has become a popular sub-topic of autonomous driving in recent years. The goal of autonomous racing research is to develop software to control the vehicle at its…
Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning
Jinning Li, Chen Tang, Masayoshi Tomizuka +1
Offline Reinforcement learning (RL) has shown potent in many safe-critical tasks in robotics where exploration is risky and expensive. However, it still struggles to acquire skills…
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
Chenfeng Xu, Tian Li, Chen Tang +5
Deep learning has recently achieved significant progress in trajectory forecasting. However, the scarcity of trajectory data inhibits the data-hungry deep-learning models from lear…
Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction
Chen Tang, Wei Zhan, Masayoshi Tomizuka
Conditional behavior prediction (CBP) builds up the foundation for a coherent interactive prediction and planning framework that can enable more efficient and less conservative man…
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction
Lingfeng Sun, Chen Tang, Yaru Niu +5
Motion forecasting in highly interactive scenarios is a challenging problem in autonomous driving. In such scenarios, we need to accurately predict the joint behavior of interactin…