Modeling social interaction and intention for pedestrian trajectory prediction

Future pedestrian trajectory prediction offers great prospects for many practical applications. Most existing methods focus on social interaction among pedestrians but ignore the fact that in addition to pedestrians there are other kinds of objects (cars, dogs, bicycles, motorcycles, etc.) with a gr...

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Veröffentlicht in:	Physica A Jg. 570; S. 125790
Hauptverfasser:	Chen, Kai, Song, Xiao, Ren, Xiaoxiang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.05.2021
Schlagworte:	Attention Convolutional long–short-term​ memory Encoder–decoder Pedestrian intention Social-interaction Encoder–decoder Pedestrian intention Convolutional long–short-term​ memory Social-interaction Attention
ISSN:	0378-4371, 1873-2119
Online-Zugang:	Volltext
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