Learning Semantic Traversability With Egocentric Video and Automated Annotation Strategy

For reliable autonomous robot navigation in urban settings, the robot must have the ability to identify semantically traversable terrains in the image based on the semantic understanding of the scene. This reasoning ability is based on semantic traversability, which is frequently achieved using sema...

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Veröffentlicht in:	IEEE robotics and automation letters 2024-11, Vol.9 (11), p.10423-10430
Hauptverfasser:	Kim, Yunho, Lee, Jeong Hyun, Lee, Choongin, Mun, Juhyeok, Youm, Donghoon, Park, Jeongsoo, Hwangbo, Jemin
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Cameras Data collection Deep learning for visual perception Navigation Robot vision systems semantic scene understanding Semantic segmentation Semantics Training vision-based navigation Visualization
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