Stair sensing system based on optical 3D data for an autonomous stair-climbing wheelchair

Michael Hacker, Petra Friedrich, Anna Eichinger, Bernhard Wolf

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

1 Zitat (Scopus)

Abstract

This paper deals with the development of an optical based scanning method for a new autonomous stair-climbing wheel chair. Therefore, two different 3D data acquisition methods are compared, a stereo camera system and a RGB-D camera (Kinect™ from Microsoft®). After that, an image based algorithm calculates the step width and height in order to support the wheelchair with control information. As both detecting methods work on a different principle, advantages and disadvantages are discussed. The focus for comparison of both methods lies in the stair recognition under different conditions such as external lightening and material of the stairs.

OriginalspracheEnglisch
TitelProceedings 2014 IEEE 4th International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Redakteure/-innenFrancisco J. Bellido, Dietmar Hepper, Hans L. Cycon, Alexander Huhn
Herausgeber (Verlag)IEEE Computer Society
Seiten400-403
Seitenumfang4
AuflageFebruary
ISBN (elektronisch)9781479961658
DOIs
PublikationsstatusVeröffentlicht - 5 Feb. 2015
Veranstaltung2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin - Berlin, Deutschland
Dauer: 7 Sept. 201410 Sept. 2014

Publikationsreihe

NameIEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
NummerFebruary
Band2015-February
ISSN (Print)2166-6814
ISSN (elektronisch)2166-6822

Konferenz

Konferenz2014 4th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
Land/GebietDeutschland
OrtBerlin
Zeitraum7/09/1410/09/14

Fingerprint

Untersuchen Sie die Forschungsthemen von „Stair sensing system based on optical 3D data for an autonomous stair-climbing wheelchair“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren