Non-Uniform Discretization-based Ordinal Regression for Monocular Depth Estimation of an Indoor Drone

Non-Uniform Discretization-based Ordinal Regression for Monocular Depth Estimation of an Indoor Drone

At present, the main methods of solving the monocular depth estimation for indoor drones are the simultaneous localization and mapping (SLAM) algorithm and the deep learning algorithm. SLAM requires the construction of a depth map of the unknown environment, which is slow to calculate and generally...

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Bibliographic Details
Main Authors: Xiangzhu Zhang, Lijia Zhang, Frank L. Lewis, Hailong Pei
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Electronics
Subjects:
deep learning
monocular
discretization
ordinal regression
depth estimation
Online Access:https://www.mdpi.com/2079-9292/9/11/1767

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