Web: http://arxiv.org/abs/2205.04624

May 11, 2022, 1:10 a.m. | Qiujing Lu, Weiqiao Han, Jeffrey Ling, Minfa Wang, Haoyu Chen, Balakrishnan Varadarajan, Paul Covington

stat.ML updates on arXiv.org arxiv.org

Predicting future trajectories of road agents is a critical task for
autonomous driving. Recent goal-based trajectory prediction methods, such as
DenseTNT and PECNet, have shown good performance on prediction tasks on public
datasets. However, they usually require complicated goal-selection algorithms
and optimization. In this work, we propose KEMP, a hierarchical end-to-end deep
learning framework for trajectory prediction. At the core of our framework is
keyframe-based trajectory prediction, where keyframes are representative states
that trace out the general direction of the …

arxiv cv deep hierarchical long-term model prediction

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