Densetnt: End-to-end trajectory prediction from dense goal sets

J Gu, C Sun, H Zhao - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …
被引用次数：346 相关文章

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

J Gu, C Sun, H Zhao - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

J Gu, C Sun, H Zhao - 2021 IEEE/CVF International Conference …, 2021 - ieeexplore.ieee.org
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

J Gu, C Sun, H Zhao - 2021 IEEE/CVF International Conference on …, 2021 - computer.org
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …

DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

J Gu, C Sun, H Zhao - arXiv preprint arXiv:2108.09640, 2021 - arxiv.org
Due to the stochasticity of human behaviors, predicting the future trajectories of road agents
is challenging for autonomous driving. Recently, goal-based multi-trajectory prediction …