Descending Staircase Detection for Service Robots based on M-Sequence UWB Radar

Wegner TE, Gedschold J, Kropp G, Trabert J, Kmec M, Del Galdo G (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 29-32

Conference Proceedings Title: 2021 18th European Radar Conference, EuRAD 2021

Event location: London, GBR

ISBN: 9782874870651

DOI: 10.23919/EuRAD50154.2022.9784493

Abstract

Service robotics is expected to be one of the central growth industries of this century. The technological key to this lies in the sufficient perception of the environment, even under difficult conditions, because mobile robots have to orientate themselves and navigate without collision under all circumstances. However, the safe detection of especially descending stairs is a big challenge so far. In this paper, the results of descending staircase detection using UWB radar are shown. The individual steps of the signal processing from signal preparation to multi-Target tracking are briefly explained and an outlook is given on how to classify a staircase based on the results. For all investigated stairs the edge of the first step could be detected reliably from a distance of 1.5 m and multiple steps are distinguishable as well.

Involved external institutions

Technische Universität Ilmenau DE Germany (DE) MetraLabs GmbH Neue Technologien und Systeme DE Germany (DE) Ilmsens GmbH DE Germany (DE)

How to cite

APA:

Wegner, T.E., Gedschold, J., Kropp, G., Trabert, J., Kmec, M., & Del Galdo, G. (2021). Descending Staircase Detection for Service Robots based on M-Sequence UWB Radar. In 2021 18th European Radar Conference, EuRAD 2021 (pp. 29-32). London, GBR: Institute of Electrical and Electronics Engineers Inc..

MLA:

Wegner, Tim Erich, et al. "Descending Staircase Detection for Service Robots based on M-Sequence UWB Radar." Proceedings of the 18th European Radar Conference, EuRAD 2021, London, GBR Institute of Electrical and Electronics Engineers Inc., 2021. 29-32.

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