Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
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Author / Creator
Dong, Yonghao , Wang, Le , Zhou, Sanping , Hua, Gang and Sun, Changyin
Publisher
Ithaca: Cornell University Library, arXiv.org
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Language
English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
Pedestrian trajectory prediction is a crucial component in computer vision and robotics, but remains challenging due to the domain shift problem. Previous studies have tried to tackle this problem by leveraging a portion of the trajectory data from the target domain to adapt the model. However, such domain adaptation methods are impractical in real...
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Full title
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction
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TN_cdi_proquest_journals_2955956831
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2955956831
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2403.05810
