- J. Chen, S. Li, and M. Tomizuka, “Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), to appear. Also presented at Computer Vision and Pattern Recognition (CVPR) 2020 Workshop on Scability in Autonomous Driving and International Conference on Machine Learning (ICML) 2020 Workshop on AI for Autonomous Driving.
- Y. Shimizu, W. Zhan, L. Sun, J. Chen, S. Kato and M. Tomizuka, “Motion Planning for Autonomous Driving with Extended Constrained Iterative LQR”, ASME Letters in Dynamic Systems and Control, also presented in Dynamic Systems and Control Conference (DSCC), 2020.
- L. Xin, Y. Kong, S. Li, J. Chen, Y. Guan, M. Tomizuka, and B. Chen, “Enable faster and smoother spatio-temporal trajectory planning for autonomous vehicles in constrained dynamic environment”, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2020.
- J. Chen, Z. Xu, and M. Tomizuka, “End-to-end Autonomous Driving Perception with Sequential Latent Representation Learning”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
- J. Chen, B. Yuan, and M. Tomizuka, “Model-free Deep Reinforcement Learning for Urban Autonomous Driving”, IEEE Intelligent Transportation Systems Conference (ITSC), 2019.
- J. Chen, B. Yuan, and M. Tomizuka, “Deep Imitation Learning for Autonomous Driving in Generic Urban Scenarios with Enhanced Safety”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019.
- J. Chen, W. Zhan, and M. Tomizuka, “Autonomous Driving Motion Planning with Constrained Iterative LQR”, IEEE Transactions on Intelligent Vehicles (T-IV), 2019.
- C. Tang, J. Chen, and M. Tomizuka, “Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network”, International Conference on Robotics and Automation (ICRA), 2019.
- L. Xin, P. Wang, C-Y. Chan, J. Chen, S. Li and B. Cheng, “Intention-Aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks”, IEEE Intelligent Transportation Systems Conference (ITSC), 2018.
- B. Yuan, J. Chen, W. Zhang, and S. McMains, “Iterative Cross Learning on Noisy Labels”, IEEE Winter Conf. on Applications of Computer Vision (WACV), 2018.
- J. Chen, C. Tang, L. Xin, and M. Tomizuka, “Continuous Decision Making for Autonomous Driving under Uncertain and Interactive Environments”, IEEE Intelligent Vehicle Symposium (IV), 2018.
- J. Chen, Z. Wang, and M. Tomizuka, “Deep Hierarchical Reinforcement Learning for Autonomous Driving with Distinct Behaviors”, IEEE Intelligent Vehicle Symposium (IV), 2018.
- J. Chen, C. Liu, and M. Tomizuka, “FOAD: Fast Optimization-based Autonomous Driving Motion Planner”, American Control Conference (ACC), 2018.
- J. Chen, W. Zhan, and M. Tomizuka, “Constrained Iterative LQR for On-Road Autonomous Driving Motion Planning”, IEEE Intelligent Transportation Systems Conference (ITSC), 2017.
- W. Zhan, J. Chen, C-Y. Chan, and M. Tomizuka, “Spatially-Partitioned Environmental Representation and Planning Architecture for On-Road Autonomous Driving”, IEEE Intelligent Vehicle Symposium (IV), 2017.
- C. Liu, J. Chen, T-D. Nguyen and M. Tomizuka, “The Robustly-Safe Automated Driving System for Enhanced Active Safety”, SAE World Congress, SAE Technical Paper 2017-01-1406, 2017.