XVO: Generalized Visual Odometry via Cross-Modal Self-Training

We propose XVO, a semi-supervised learning method for training generalized monocular Visual Odometry (VO) models with robust off-the-self operation across diverse datasets and settings. In contrast to standard monocular VO approaches which often study a known calibration within a single dataset, XVO...

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Bibliographische Detailangaben

Hauptverfasser:	Lai, Lei, Shangguan, Zhongkai, Zhang, Jimuyang, Ohn-Bar, Eshed
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
Online-Zugang:	Volltext bestellen
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