MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain

Trajectory prediction has garnered widespread attention in different fields, such as autonomous driving and robotic navigation. However, due to the significant variations in trajectory patterns across different scenarios, models trained in known environments often falter in unseen ones. To learn a g...

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Bibliographische Detailangaben

Hauptverfasser:	Li, Xiaohe, Huang, Feilong, Fan, Zide, Mou, Fangli, Hou, Yingyan, Qian, Chen, Wen, Lijie
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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