UWB Radar Object Recognition for SLAM

Beitrag bei einer Tagung

Details zur Publikation

Autorinnen und Autoren: Deißler T, Thielecke J, Salman R, Schulze T, Willms HI
Titel Sammelwerk: 4th Microwave and Radar Week MRW-2010 - 11th International Radar Symposium, IRS 2010 - Conference Proceedings
Jahr der Veröffentlichung: 2010
Tagungsband: Proceedings of 11th International Radar Symposium
Seitenbereich: 1-4
ISBN: 978-1-4244-5613-0


In situations where the environment is filled with dust or smoke, like in many emergency scenarios, UWB Radar is a possible technology to still sense the surrounding and build maps, thus helping firemen and other rescue personal. In this paper, a combination of two algorithms is presented. A basic simultaneous localization and mapping (SLAM) algorithm relying on simple indoor features is used to explore the environment and build a map. This algorithm is augmented by an object-recognition (OR) algorithm that is capable of recognizing and localizing complex shapes. These shapes can be used to improve the map resolution accuracy and resolve ambiguities. First tests using an m-sequence UWB Radar indicate the feasibility of this concept.

FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Deißler, Tobias
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Thielecke, Jörn Prof. Dr.
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


Deißler, T., Thielecke, J., Salman, R., Schulze, T., & Willms, H.-I. (2010). UWB Radar Object Recognition for SLAM. In Proceedings of 11th International Radar Symposium (pp. 1-4). Vilnius.

Deißler, Tobias, et al. "UWB Radar Object Recognition for SLAM." Proceedings of the 11th International Radar Symposium (IRS), 2010, Vilnius 2010. 1-4.


Zuletzt aktualisiert 2018-09-08 um 22:38