Monocular Depth Estimation with Self-Supervised Learning for Vineyard Unmanned Agricultural Vehicle

To find an economical solution to infer the depth of the surrounding environment of unmanned agricultural vehicles (UAV), a lightweight depth estimation model called MonoDA based on a convolutional neural network is proposed. A series of sequential frames from monocular videos are used to train the...

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Xehetasun bibliografikoak

Egile Nagusiak:	Xue-Zhi Cui, Quan Feng, Shu-Zhi Wang, Jian-Hua Zhang
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-01-01
Saila:	Sensors
Gaiak:	edge computing device monocular depth estimation self-supervised learning vineyard scene
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/22/3/721
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