Autonomous guidance for a uas along a staircase

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdragepeer review

Samenvatting

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.

Originele taal-2Engels
TitelAdvances in Visual Computing - 11th International Symposium, ISVC 2015, Proceedings
RedacteurenMark Elendt, Richard Boyle, Eric Ragan, Bahram Parvin, Rogerio Feris, Tim McGraw, Ioannis Pavlidis, Regis Kopper, George Bebis, Darko Koracin, Zhao Ye, Gunther Weber
UitgeverijSpringer
Pagina's466-475
Aantal pagina's10
ISBN van geprinte versie9783319278568
DOI's
StatusGepubliceerd - 2015
Evenement11th International Symposium on Advances in Visual Computing, ISVC 2015 - Las Vegas, Verenigde Staten van Amerika
Duur: 14 dec. 201516 dec. 2015

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9474
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

Congres11th International Symposium on Advances in Visual Computing, ISVC 2015
Land/RegioVerenigde Staten van Amerika
StadLas Vegas
Periode14/12/1516/12/15

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