Summary
This paper describes a navigation method based on road detection using both a laser scanner and a vision sensor. The method is to classify the surface in front of the robot into traversable segments (road) and obstacles using the laser scanner, this classifies the area just in front of the robot (2.5 m). The front looking camera is used to classify the road from this distance and forward, taking a seed area from the laser scanner data and from this estimate the outline of the visible part of the road. The method has been tested successfully on gravelled and asphalt roads in a national park environment.
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© 2008 Springer-Verlag Berlin Heidelberg
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Andersen, J.C., Andersen, N.A., Ravn, O. (2008). Vision Assisted Laser Scanner Navigation for Autonomous Robots. In: Khatib, O., Kumar, V., Rus, D. (eds) Experimental Robotics. Springer Tracts in Advanced Robotics, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77457-0_11
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DOI: https://doi.org/10.1007/978-3-540-77457-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77456-3
Online ISBN: 978-3-540-77457-0
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