Pedestrian trajectory prediction via physical-guided position association learning

Pedestrian trajectory prediction possesses huge application value in automatic driving, robots, and video surveillance. Due to the complexity of the environment and the uncertainty of pedestrians, predicting pedestrian trajectories is a challenging task. Previous studies simply employ the LSTM or tr...

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Bibliografske podrobnosti

Principais autores:	Yueyun Xu, Hongmao Qin, Yougang Bian, Rongjun Ding
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2025-04-01
Serija:	Engineering Science and Technology, an International Journal
Teme:	Trajectory prediction Position relationship Motion peculiarity
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2215098625000631
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