Corpus ID: 236881204

RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting

@article{Li2021RAINRH,
  title={RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting},
  author={Jiachen Li and Fan Yang and Hengbo Ma and Srikanth Malla and Masayoshi Tomizuka and Chiho Choi},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.01316}
}
  • Jiachen Li, Fan Yang, +3 authors Chiho Choi
  • Published 3 August 2021
  • Computer Science
  • ArXiv
Motion forecasting plays a significant role in various domains (e.g., autonomous driving, human-robot interaction), which aims to predict future motion sequences given a set of historical observations. However, the observed elements may be of different levels of importance. Some information may be irrelevant or even distracting to the forecasting in certain situations. To address this issue, we propose a generic motion forecasting framework (named RAIN) with dynamic key information selection… Expand
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