Self-Supervised Learning for Visual Obstacle Avoidance Technical report

• Tác giả: Tom van Dijk
• Ngôn ngữ: eng
• ISBN-13: 978-9463665094
• ISBN: 978­94­6366­509­4
• ISBN: mg.19
• Thông tin xuất bản: Delft TU Delft Open 2022
• Mô tả vật lý: 1 electronic resource (48 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 375690
• Chủ đề: 1. computer vision; 2. monocular depth estimation; 3. obstacle avoidance; 4. stereo vision; 5. Technology, engineering, agriculture

Tóm tắt

With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles.