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Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility.

, , , , and . IROS, page 5918-5925. (2023)

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Leveraging Neural Network Gradients within Trajectory Optimization for Proactive Human-Robot Interactions., , , and . CoRR, (2020)Task-Aware Risk Estimation of Perception Failures for Autonomous Vehicles., , , , , and . Robotics: Science and Systems, (2023)Task-Relevant Failure Detection for Trajectory Predictors in Autonomous Vehicles., , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1959-1969. PMLR, (2022)Receding Horizon Planning with Rule Hierarchies for Autonomous Vehicles., , , , , and . ICRA, page 1507-1513. IEEE, (2023)Generative Modeling of Multimodal Multi-Human Behavior., , , and . IROS, page 3088-3095. IEEE, (2018)Learning Autonomous Vehicle Safety Concepts from Demonstrations., , , and . CoRR, (2022)Back-propagation through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods., , and . CoRR, (2020)On infusing reachability-based safety assurance within planning frameworks for human-robot vehicle interactions., , , , , , and . Int. J. Robotics Res., (2020)Back-Propagation Through Signal Temporal Logic Specifications: Infusing Logical Structure into Gradient-Based Methods., , and . WAFR, volume 17 of Springer Proceedings in Advanced Robotics, page 432-449. Springer, (2021)Infusing Reachability-Based Safety into Planning and Control for Multi-agent Interactions., , and . IROS, page 6252-6259. IEEE, (2020)