Obstacle-free range determination for rail track maintenance vehicles

Maire, Frederic D. & Bigdeli, Abbas (2010) Obstacle-free range determination for rail track maintenance vehicles. In 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), 7-10 Decembre 2010, Grand Copthorne Waterfront Hotel, Singapore.

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Maintenance trains travel in convoy. In Australia, only the first train of the convoy pays attention to the track sig- nalization (the other convoy vehicles simply follow the preceding vehicle). Because of human errors, collisions can happen between the maintenance vehicles. Although an anti-collision system based on a laser distance meter is already in operation, the existing system has a limited range due to the curvature of the tracks. In this paper, we introduce an anti-collision system based on vision. The two main ideas are, (1) to warp the camera image into an image where the rails are parallel through a projective transform, and (2) to track the two rail curves simultaneously by evaluating small parallel segments. The performance of the system is demonstrated on an image dataset.

Impact and interest:

15 citations in Scopus
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6 citations in Web of Science®

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ID Code: 37246
Item Type: Conference Paper
Refereed: Yes
Keywords: obstacle detection, train, collision avoidance
ISBN: 9781424478156
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Divisions: Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Copyright Owner: Copyright 2010 IEEE.
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 24 Sep 2010 05:49
Last Modified: 29 Feb 2012 14:30

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