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http://dx.doi.org/10.5302/J.ICROS.2006.12.4.395

3D Depth Measurement System-based Unpaved Trail Recognition for Mobile Robots  

Gim Seong-Chan (CAIIT, 전북대학교 제어계측공학과)
Kim Jong-Man (전남도립남도대학교 컴퓨터응용전기과)
Kim Hyong-Suk (CAIIT, 전북대학교 제어계측공학과)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.4, 2006 , pp. 395-399 More about this Journal
Abstract
A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.
Keywords
road detection; mobile robot; depth measurement; structured lighting;
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1 H. S. Kim, C.-S. Lin, C.-B. Yoon , H.-J. Lee, and H. R. Son, 'A depth measurement system with the active vision of the striped lighting and rotating mirror,' Lecture Note in Computer Sciences: Progress in Pattern Recognition, Image Analysis and Applications, vol. 3287, pp. 108-115, Oct. 2004
2 J. H. Song, S. I. Na, H.-G. Kim, H. S. Kim, and C.-S. Lin 'Depth measurement associated with the mono camera system with a rotating mirror,' Lecture Notes in Computer Science: Advances in Multimedia Information Processing, vol. 2532, pp. 1145-1152, December 2002
3 W. Eric L. Grimson, 'Computational experiments with a feature based stereo algorithm,' IEEE Transactions on Patt Analysis and Machine Intelligence, PAMI-7, no. 1, 17, Jan., 1985
4 M. El Ansari, L. Masmoudi, and L. Radouane, 'A new region matching method for stereoscopic images,' Pattern Recognition Letters, vol. 21, pp. 283-294, April 2000   DOI   ScienceOn
5 F. Candocia and M. Adjouadi, 'A similarity measurement for stereo feature matching,' IEEE Tr. on Image processing, vol. 5, pp.1460-1464, October 1997   DOI   ScienceOn
6 C. S. Chen, Y. P. Hung, C. C. Chiang, and J. L. Wu, 'Range data acquisition using color structured lighting and stereo vision,' Image and Vision Computing, vol. 15, pp. 445-456, 1997   DOI   ScienceOn
7 D. Scharstein and R. Szeliski, 'High-accuracy stereo depth maps using structured light,' IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 1-195-202, 2003   DOI
8 K. Pulli and L. G Shapiro, 'Surface reconstruction and display from range and color data,' Graphical Models. vol. 62, pp. 165-201, 2000   DOI   ScienceOn
9 F. Figueroa, A. Mahajan, 'A robust navigation system for autonomous vehicles using ultrasonics,' Control Engineering Practice, vol 2, pp. 855-858, Issue 5, October 1994
10 P. K. Ray and A. Mahajan, 'Agenetic algorithm based approach to calculate the optimal configuration of ultrasonic sensors in a 3D position estimation system,' Robotics and Autonomous Systems, vol. 41, pp. 165-177, Issue 4, 31, Dec 2002   DOI   ScienceOn