Self-Supervised Learning for Visual Obstacle Avoidance Technical report

• मुख्य लेखक: van Dijk, Tom (auth)
• स्वरूप: इलेक्ट्रोनिक पुस्तक अध्याय
• भाषा: अंग्रेज़ी
• प्रकाशित: Delft TU Delft Open 2022
• विषय: Technology, engineering, agriculture; computer vision; stereo vision; monocular depth estimation; obstacle avoidance; self-supervised learning; unmanned aerial vehicles; micro aerial vehicles
• ऑनलाइन पहुंच: DOAB: download the publication; DOAB: description of the publication

सारांश

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.

भौतिक वर्णन

1 electronic resource (48 p.)

आईएसबीएन

mg.19
9789463665094
978­94­6366­509­4

अभिगमन

Open Access