Localization Framework for Real-Time UAV Autonomous Landing: An On-Ground Deployed Visual Approach

Autor: Weiwei Kong, Tianjiang Hu, Daibing Zhang, Lincheng Shen, Jianwei Zhang
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Sensors, Vol 17, Iss 6, p 1437 (2017)
Druh dokumentu: article
ISSN: 1424-8220
DOI: 10.3390/s17061437
Popis: [-5]One of the greatest challenges for fixed-wing unmanned aircraft vehicles (UAVs) is safe landing. Hereafter, an on-ground deployed visual approach is developed in this paper. This approach is definitely suitable for landing within the global navigation satellite system (GNSS)-denied environments. As for applications, the deployed guidance system makes full use of the ground computing resource and feedbacks the aircraft’s real-time localization to its on-board autopilot. Under such circumstances, a separate long baseline stereo architecture is proposed to possess an extendable baseline and wide-angle field of view (FOV) against the traditional fixed baseline schemes. Furthermore, accuracy evaluation of the new type of architecture is conducted by theoretical modeling and computational analysis. Dataset-driven experimental results demonstrate the feasibility and effectiveness of the developed approach.
Databáze: Directory of Open Access Journals