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A new adaptive approach on rapid obstacle detection in range image

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Book cover Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1352))

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Abstract

New approaches for rapidly detectingthe obstacles inspherical coordinate using range image sensed by Laser Imaging Range Sensor(LIRS) are presented in this paper. The algorithm that adaptively thresholds the normalized range differences is shown to have rapid and robust results for edge detection of obstacle of real outdoor range image, and is useful for obstacle detection in mobile robot. Some problems of range sensing for LIRS encountered in the implementation of the method as well as the robustness of this algorithm are discussed.

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References

  1. Martial Herbert and Kanade T. Outdoor Scene Analysis Using Range Data. in Proceedings of the 1986 IEEE Robotics and Automation Conference, pp. 1426–1432.

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  2. Minoru Asada. Building A 3-D World Model For A Mobile Robot From Sensory Data. in Proceedingsof the 1988 IEEE Robotics and Automation Conference, pp. 918–923.

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  3. R.T.Dunlay and D.G.Morgenthaler. Obstacle Avoidance on Roadways Using Range Data. in SPIE Vol. 727 Mobile Robots, Cambridge, MA, 1986, pp. 110–116.

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  4. M.J.Daily,J.G.Harris, and K.Reiser. Detecting Obstacles in Range Imagery. in Image Understanding Workshop, Los Angles, 1987.

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Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Qi, Z., Weikang, G., Xiuging, Y. (1997). A new adaptive approach on rapid obstacle detection in range image. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63931-4_256

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  • DOI: https://doi.org/10.1007/3-540-63931-4_256

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63931-2

  • Online ISBN: 978-3-540-69670-4

  • eBook Packages: Springer Book Archive

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