A self-supervised monocular depth estimation approach based on UAV aerial images

A self-supervised monocular depth estimation approach based on UAV aerial images

The Unmanned Aerial Vehicles (UAVs) have gained increasing attention recently, and depth estimation is one of the essential tasks for the safe operation of UAVs, especially for drones at low altitudes. Considering the limitations of UAVs’ size and payload, innovative methods combined with deep learn...

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Bibliographic Details
Main Authors: Zhang, Yuhang, Yu, Qing, Low Kin Huat, Lv, Chen
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference Paper
Language:English
Published: 2022
Subjects:
Engineering::Mechanical engineering
Unmanned Aerial Vehicles
Self-Supervised Learning
Monocular Depth Estimation
Aerial Images
Multi-Scale Upsampling
Online Access:https://hdl.handle.net/10356/162468

Internet

https://hdl.handle.net/10356/162468

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