Lanercnn: Distributed representations for graph-centric motion forecasting
Forecasting the future behaviors of dynamic actors is an important task in many robotics
applications such as self-driving. It is extremely challenging as actors have latent intentions …
applications such as self-driving. It is extremely challenging as actors have latent intentions …
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun - arXiv preprint arXiv:2101.06653, 2021 - arxiv.org
Forecasting the future behaviors of dynamic actors is an important task in many robotics
applications such as self-driving. It is extremely challenging as actors have latent intentions …
applications such as self-driving. It is extremely challenging as actors have latent intentions …
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Forecasting the future behaviors of dynamic actors is an important task in many robotics
applications such as self-driving. It is extremely challenging as actors have latent intentions …
applications such as self-driving. It is extremely challenging as actors have latent intentions …
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
W Zeng, M Liang, R Liao, R Urtasun - 2021 IEEE/RSJ International …, 2021 - dl.acm.org
Forecasting the future behaviors of dynamic actors is an important task in many robotics
applications such as self-driving. It is extremely challenging as actors have latent intentions …
applications such as self-driving. It is extremely challenging as actors have latent intentions …