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Predicting trajectories of vehicles using large-scale motion priors.

, , , and . Intelligent Vehicles Symposium, page 1639-1644. IEEE, (2018)

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One Thousand and One Hours: Self-driving Motion Prediction Dataset., , , , , , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 409-418. PMLR, (2020)Deep Inverse Reinforcement Learning., , and . CoRR, (2015)End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks., , , and . CoRR, (2016)Autonomy 2.0: Why is self-driving always 5 years away?, , , and . CoRR, (2021)Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients., , , , and . CoRL, volume 164 of Proceedings of Machine Learning Research, page 718-728. PMLR, (2021)SafetyNet: Safe Planning for Real-World Self-Driving Vehicles Using Machine-Learned Policies., , , , , , , , , and 1 other author(s). ICRA, page 897-904. IEEE, (2022)What data do we need for training an AV motion planner?, , , , , , , , and . ICRA, page 1066-1072. IEEE, (2021)SafetyNet: Safe planning for real-world self-driving vehicles using machine-learned policies., , , , , , , , , and . CoRR, (2021)DriverGym: Democratising Reinforcement Learning for Autonomous Driving., , , , and . CoRR, (2021)Visual Vehicle Tracking Through Noise and Occlusions Using Crowd-Sourced Maps., , , and . IROS, page 4531-4538. IEEE, (2018)