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

• المؤلفون الرئيسيون: Zhang, Yuhang, Yu, Qing, Low, Kin Huat, Lv, Chen
• مؤلفون آخرون: School of Mechanical and Aerospace Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Mechanical engineering; Unmanned Aerial Vehicles; Self-Supervised Learning; Monocular Depth Estimation; Aerial Images; Multi-Scale Upsampling
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/162468

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...