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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Thorpe, C., Carlson, J., Duggins, D., Gowdy, J., MacLachlan, R., Mertz, C., … Wang, B. (2005). Safe robot driving in cluttered environments. Springer Tracts in Advanced Robotics, 15, 271–280. https://doi.org/10.1007/11008941_29
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