Joint Unsupervised Learning of Depth, Pose, Ground Normal Vector and Ground Segmentation by a Monocular Camera Sensor

We propose a completely unsupervised approach to simultaneously estimate scene depth, ego-pose, ground segmentation and ground normal vector from only monocular RGB video sequences. In our approach, estimation for different scene structures can mutually benefit each other by the joint optimization....

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Dades bibliogràfiques

Autors principals:	Lu Xiong, Yongkun Wen, Yuyao Huang, Junqiao Zhao, Wei Tian
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-07-01
Col·lecció:	Sensors
Matèries:	unsupervised learning scene depth ego-motion ground segmentation ground normal vector
Accés en línia:	https://www.mdpi.com/1424-8220/20/13/3737
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