Monocular‐based collision avoidance system for unmanned aerial vehicle

Abstract Obstacle avoidance based on a monocular camera is a challenging task due to the lack of 3D information for Unmanned Aerial Vehicle. Recent methods based on Convolutional Neural Networks for monocular depth estimation and obstacle detection become widely used. However, collision avoidance wi...

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Bibliographic Details
Main Authors: Abdulrahman Javaid, Asaad Alduais, M. Hashem Shullar, Uthman Baroudi, Mustafa Alnaser
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:IET Smart Cities
Subjects:
Online Access:https://doi.org/10.1049/smc2.12067