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Stairs detection for enhancing wheelchair capabilities based on radar sensors

 
: Abdulatif, Sherif; Kleiner, Bernhard; Aziz, Fady; Riehs, Christopher; Cooper, Rory; Schneider, Urs

:

Abe, R. ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Consumer Electronics Society -CE-:
IEEE 6th Global Conference on Consumer Electronics, GCCE 2017 : Nagoya, Japan, 24-27 Oct. 2017
Piscataway, NJ: IEEE, 2017
ISBN: 978-1-5090-4045-2
ISBN: 978-1-5090-4046-9
S.782-786
Global Conference on Consumer Electronics (GCCE) <6, 2017, Nagoya>
Englisch
Konferenzbeitrag
Fraunhofer IPA ()
Rollstuhl; Barrierefreiheit; Radar

Abstract
Powered wheelchair users encounter barriers to their mobility everyday. Entering a building with non barrier-free areas can massively impact a persons mobility related activities. There are a few commercial devices and some experimental that can climb stairs using for instance adaptive wheels with joints or caterpillar drive. These systems rely on the use for sensing and control. For safe automated obstacle crossing, a robust and environment invariant detection of the surrounding is necessary. Radar may prove to be a suitable sensor for its capability to handle harsh outdoor environmental conditions. In this paper, we introduce a mirror based two dimensional Frequency-Modulated Continuous-Wave (FMCW) radar scanner for stair detection. A radar image based stair dimensioning approach is presented and tested under laboratory and realistic conditions.

: http://publica.fraunhofer.de/dokumente/N-506971.html