More Robust Features for Adaptive Visual Navigation of UAVs in Mixed Environments

In this paper, we present an autonomous visual navigation system that determines the location of the unmanned aerial vehicle (UAV) in GPS-denied environment by detecting semantic features (roads centrelines, intersections, outlines of forest and river) in aerial imagery and matching them to a pre-bu...

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Bibliographische Detailangaben

Veröffentlicht in:	Journal of intelligent & robotic systems 2018-05, Vol.90 (1-2), p.171-187
Hauptverfasser:	Volkova, Anastasiia, Gibbens, Peter W
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous navigation Model matching Modelling Navigation systems Rural areas Satellite imagery Traffic intersections Unmanned aerial vehicles
Online-Zugang:	Volltext
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