Deißler T, Thielecke J, Salman R, Schulze T, Willms HI (2010)
Publication Type: Conference contribution
Publication year: 2010
Edited Volumes: 4th Microwave and Radar Week MRW-2010 - 11th International Radar Symposium, IRS 2010 - Conference Proceedings
Pages Range: 1-4
Conference Proceedings Title: Proceedings of 11th International Radar Symposium
Event location: Vilnius
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.
APA:
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.
MLA:
Deißler, Tobias, et al. "UWB Radar Object Recognition for SLAM." Proceedings of the 11th International Radar Symposium (IRS), 2010, Vilnius 2010. 1-4.
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