End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration

End-to-End Nano-Drone Obstacle Avoidance for Indoor Exploration

Autonomous navigation of drones using computer vision has achieved promising performance. Nano-sized drones based on edge computing platforms are lightweight, flexible, and cheap; thus, they are suitable for exploring narrow spaces. However, due to their extremely limited computing power and storage...

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Bibliographic Details
Main Authors:	Ning Zhang, Francesco Nex, George Vosselman, Norman Kerle
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Drones
Subjects:	drone obstacle avoidance computer vision depth estimation transformer knowledge distillation
Online Access:	https://www.mdpi.com/2504-446X/8/2/33

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