Abstract
The Navlab group at Carnegie Mellon University has a long history of development of automated vehicles and intelligent systems for driver assistance. The earlier work of the group concentrated on road following, cross-country driving, and obstacle detection. The new focus is on short-range sensing, to look all around the vehicle for safe driving. The current system uses video sensing, laser rangefinders, a novel light-stripe rangefinder, software to process each sensor individually, and a map-based fusion system. The complete system has been demonstrated on the Navlab 11 vehicle for monitoring the environment of a vehicle driving through a cluttered urban environment, detecting and tracking fixed objects, moving objects, pedestrians, curbs, and roads.
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© 2005 Springer-Verlag Berlin Heidelberg
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Thorpe, C. et al. (2005). Safe Robot Driving in Cluttered Environments. In: Dario, P., Chatila, R. (eds) Robotics Research. The Eleventh International Symposium. Springer Tracts in Advanced Robotics, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11008941_29
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DOI: https://doi.org/10.1007/11008941_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23214-8
Online ISBN: 978-3-540-31508-7
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