32 citations · 177 across the 32 of their papers we have counts for
4 papers · 1 filter
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
Chen Tang, Jianyu Chen, Masayoshi Tomizuka
Probabilistic vehicle trajectory prediction is essential for robust safety of autonomous driving. Current methods for long-term trajectory prediction cannot guarantee the physical…
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
Long Xin, Pin Wang, Ching-Yao Chan +3
As autonomous vehicles (AVs) need to interact with other road users, it is of importance to comprehensively understand the dynamic traffic environment, especially the future possib…
Model-free Deep Reinforcement Learning for Urban Autonomous Driving
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
Urban autonomous driving decision making is challenging due to complex road geometry and multi-agent interactions. Current decision making methods are mostly manually designing the…
Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety
Jianyu Chen, Bodi Yuan, Masayoshi Tomizuka
The decision and planning system for autonomous driving in urban environments is hard to design. Most current methods manually design the driving policy, which can be expensive to…