Self-Supervised Learning for Visual Obstacle Avoidance

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...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	van Dijk, Tom
Format:	Online
Sprache:	Englisch
Veröffentlicht:	TU Delft OPEN Publishing 2025
Schlagworte:	computer vision stereo vision monocular depth estimation obstacle avoidance self-supervised learning unmanned aerial vehicles micro aerial vehicles thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TR Transport technology and trades::TRP Aerospace and aviation technology
Online-Zugang:	ONIX_20250522T133704_9789463665094_29
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