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

• Main Authors: Zhang, Yuhang, Yu, Qing, Low, Kin Huat, Lv, Chen
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2022
• 主題: Engineering::Mechanical engineering; Unmanned Aerial Vehicles; Self-Supervised Learning; Monocular Depth Estimation; Aerial Images; Multi-Scale Upsampling
• 在線閱讀: https://hdl.handle.net/10356/162468
• 機構: Nanyang Technological University

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...