Autonomous guidance for a uas along a staircase

Olivier De Meyst, Thijs Goethals, Haris Balta, Geert De Cubber, Rob Haelterman

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

In the quest for fully autonomous unmanned aerial systems (UAS), multiple challenges are faced. For enabling autonomous UAS navigation in indoor environments, one of the major bottlenecks is the capability to autonomously traverse narrow 3D - passages, like staircases. This paper presents a novel integrated system that implements a semiautonomous navigation system for a quadcopter. The navigation system permits the UAS to detect a staircase using only the images provided by an on-board monocular camera. A 3D model of this staircase is then automatically reconstructed and this model is used to guide the UAS to the top of the detected staircase. For validating the methodology, a proof of concept is created, based on the Parrot AR.Drone 2.0 which is a cheap commercial off-the-shelf quadcopter.

OriginalspracheEnglisch
TitelAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
Redakteure/-innenMark Elendt, Richard Boyle, Eric Ragan, Bahram Parvin, Rogerio Feris, Tim McGraw, Ioannis Pavlidis, Regis Kopper, George Bebis, Darko Koracin, Zhao Ye, Gunther Weber
Herausgeber (Verlag)Springer
Seiten466-475
Seitenumfang10
ISBN (Print)9783319278568
DOIs
PublikationsstatusVeröffentlicht - 2015
Veranstaltung11th International Symposium on Advances in Visual Computing, ISVC 2015 - Las Vegas, USA/Vereinigte Staaten
Dauer: 14 Dez. 201516 Dez. 2015

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band9474
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz11th International Symposium on Advances in Visual Computing, ISVC 2015
Land/GebietUSA/Vereinigte Staaten
OrtLas Vegas
Zeitraum14/12/1516/12/15

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