Special Section on Quality Control by Artificial Vision

Multisensor comparison and data fusion for mapping enclosed spaces

[+] Author Affiliations
Shiyu Song

University of California, San Diego, Electrical and Computer Engineering, La Jolla, California 92093

Mohammed Billoo

Maxentric Technologies, 2071 Lemoine Avenue, Suite 302, Fort Lee, New Jersey 07024

Clark Guest

University of California, San Diego, Electrical and Computer Engineering, La Jolla, California 92093

Kamran Mahbobi

Maxentric Technologies, 2071 Lemoine Avenue, Suite 302, Fort Lee, New Jersey 07024

J. Electron. Imaging. 21(2), 021104 (May 10, 2012). doi:10.1117/1.JEI.21.2.021104
History: Received August 4, 2011; Revised November 3, 2011; Accepted December 15, 2011
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Abstract.  The ability to determine the size and shape of a room or other interior space prior to the entry of personnel can identify risks, aid in planning, and promote efficient allocation of resources. The performance of infrared sensors, acoustic sensors, frequency modulated continuous wave radar, and stereo cameras for mapping an enclosed space is evaluated. A multisensor system and a communication network are demonstrated to map accurately the interior of a building and generate a consistent solution and robust results. The average error of the system is 10 to 30 cm. Processing time for the data fusion algorithm is typically 5 to 20sec/room to generate the floor plan for the building. Two practical examples are presented. Current limitations of the technology are discussed, and approaches to abate them are proposed.

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© 2012 SPIE and IS&T

Citation

Shiyu Song ; Mohammed Billoo ; Clark Guest and Kamran Mahbobi
"Multisensor comparison and data fusion for mapping enclosed spaces", J. Electron. Imaging. 21(2), 021104 (May 10, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.2.021104


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