Attentional-GCNN: Adaptive pedestrian trajectory prediction towards generic autonomous vehicle use cases

K Li, S Eiffert, M Shan, F Gomez-Donoso… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Autonomous vehicle navigation in shared pedestrian environments requires the ability to
predict future crowd motion both accurately and with minimal delay. Understanding the …
被引用次数：27 相关文章
[PDF] researchgate.net

[PDF][PDF] Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

K Li, S Eiffert, M Shan, F Gomez-Donoso, S Worrall… - researchgate.net
Autonomous vehicle navigation in shared pedestrian environments requires the ability to
predict future crowd motion both accurately and with minimal delay. Understanding the …

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

K Li, S Eiffert, M Shan, F Gomez-Donoso… - 2021 IEEE International …, 2021 - dl.acm.org
Autonomous vehicle navigation in shared pedestrian environments requires the ability to
predict future crowd motion both accurately and with minimal delay. Understanding the …

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

K Li, S Eiffert, M Shan, F Gomez-Donoso… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Autonomous vehicle navigation in shared pedestrian environments requires the ability to
predict future crowd motion both accurately and with minimal delay. Understanding the …

Attentional-GCNN: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases

K Li, S Eiffert, M Shan, F Gomez-Donoso… - arXiv preprint arXiv …, 2020 - arxiv.org
Autonomous vehicle navigation in shared pedestrian environments requires the ability to
predict future crowd motion both accurately and with minimal delay. Understanding the …