MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic Navigation

2 Mar 2020Marvin ChancánMichael Milford

Autonomous navigation emerges from both motion and local visual perception in real-world environments. However, most successful robotic motion estimation methods (e.g. VO, SLAM, SfM) and vision systems (e.g. CNN, visual place recognition-VPR) are often separately used for mapping and localization tasks... (read more)

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