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Proceedings Paper

Reconstruction of 3D indoor model by scalable sensing using mobile robot
Author(s): K. Fujimoto; F. Beniyama; T. Moriya; Y. Nakayama
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Paper Abstract

To construct a 3D model of an environment with minimal information loss, integrated sensor data from many viewpoints are needed. However, this increases the amount of useless data, and it also takes too much time. Based on this problem, we developed a scalable sensing scheme using a robot system to reconstruct indoor environments. We mounted a freely rotating range sensor on a mobile robot to acquire range data in a real office environment, and we constructed a 3D model of that environment. The scheme determines the frequency of the measurement in each direction according to the complexity of the shape. If the shape on the direction of the sensor's angle is simple, the frequency of the measurement becomes low. On the other hand, if the shape is compleex, the frequency is high. It also does not acquire data in areas that have alreaedy been measured. The results showed that a 3D model can be constructed with less frequent measurements with our scheme.

Paper Details

Date Published: 25 February 2008
PDF: 10 pages
Proc. SPIE 6805, Three-Dimensional Image Capture and Applications 2008, 68050I (25 February 2008); doi: 10.1117/12.766903
Show Author Affiliations
K. Fujimoto, The Univ. of Electro-Communications (Japan)
F. Beniyama, Hitachi, Ltd. (Japan)
T. Moriya, Hitachi, Ltd. (Japan)
Y. Nakayama, The Univ. of Electro-Communications (Japan)

Published in SPIE Proceedings Vol. 6805:
Three-Dimensional Image Capture and Applications 2008
Brian D. Corner; Masaaki Mochimaru; Robert Sitnik, Editor(s)

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