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ThruMapper: Through-Wall Building Tomography with a Single Mapping Robot

Chetty, K; Tan, B; Jamieson, K; (2017) ThruMapper: Through-Wall Building Tomography with a Single Mapping Robot. In: Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications. Association for Computer Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Vision- and LIDAR-based Simultaneous Localization and Mapping (SLAM) techniques can build indoor building floorplans with ease, but require line-of-sight into every room of a building. We are developing a radio microwave-based system for building indoor floor plans using SLAM techniques, but without the requirement that the mapping robot has access to every room in the building. Our system uses multiple antennas to direct radio energy through walls in particular directions, and joint time- and angle-of-arrival estimation techniques to estimate their backscatter returns from the walls of the building. Wide bandwidth (120 MHz) transmissions combined with an iterative transmit nulling and receive cancellation strategy allows ThruMapper to isolate individual walls and measure the location of a non-line-of-sight wall hidden behind another wall and office clutter to within a 25-centimetre RMS error.

Type: Proceedings paper
Title: ThruMapper: Through-Wall Building Tomography with a Single Mapping Robot
Event: HotMobile 2017 - The 18th International Workshop on Mobile Computing Systems and Applications
Location: Sonoma, California, US
Dates: 21 February 2017 - 22 February 2017
ISBN-13: 978-1-4503-4907-9
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3032970.3032973
Publisher version: https://doi.org/10.1145/3032970.3032973
Language: English
Additional information: © Author(s) | ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in: HotMobile '17 Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, http://dx.doi.org/10.1145/3032970.3032973
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1534611
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