Mobile robot 6D pose estimation using a wireless localization network

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Dobrev Y, Reustle C, Pavlenko T, Cordes F, Vossiek M
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2016
ISBN: 9781509023677
Language: English


Abstract


Global navigation satellite systems (GNSS) are widely used for localization on Earth, but are not available on other planets, so that robotic planetary exploration missions need to use alternative methods for localization. This paper presents a wireless localization network (WLN) for estimating the 3D position and 3D orientation of a mobile robot. It consists of at least one reference 24 GHz radar node with known pose, and a mobile node on the robot. The reference nodes can determine the distance and both spatial angles to the mobile robot (thus locating it in 3D) using round-trip time of flight measurements and digital beamforming. We use an extended Kalman filter (EKF) to fuse these results with the readings from the mobile node, and an inclinometer to determine the complete 6D pose of the mobile robot. Measurements in a realistic scenario prove the feasibility of the proposed concept.



FAU Authors / FAU Editors

Dobrev, Yassen
Lehrstuhl für Hochfrequenztechnik
Pavlenko, Tatiana
Lehrstuhl für Hochfrequenztechnik
Reustle, Christoph
Lehrstuhl für Hochfrequenztechnik
Vossiek, Martin Prof. Dr.-Ing.
Lehrstuhl für Hochfrequenztechnik


External institutions
Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) GmbH


How to cite

APA:
Dobrev, Y., Reustle, C., Pavlenko, T., Cordes, F., & Vossiek, M. (2016). Mobile robot 6D pose estimation using a wireless localization network. Institute of Electrical and Electronics Engineers Inc..

MLA:
Dobrev, Yassen, et al. "Mobile robot 6D pose estimation using a wireless localization network." Proceedings of the 2016 IEEE MTT-S International Conference on Microwaves for Intelligent Mobility, ICMIM 2016 Institute of Electrical and Electronics Engineers Inc., 2016.

BibTeX: 

Last updated on 2018-13-11 at 13:53