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Carnegie Mellon Robotics Institute

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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.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Field Robotics Center

Associated Lab(s) / Group(s): NavLab

Associated Project(s): Transit Bus Collision Warning Systems and CTA Robotics

Text Reference

Chuck Thorpe, Justin David Carlson, David Duggins, Jay Gowdy, Robert MacLachlan, Christoph Mertz, Arne Suppe, and Chieh-Chih Wang, "Safe Robot Driving in Cluttered Environments," Proceedings of the 11th International Symposium of Robotics Research, October, 2003.

BibTeX Reference

@inproceedings{Thorpe_2003_4471,
   author = "Chuck Thorpe and Justin David Carlson and David Duggins and Jay Gowdy and Robert MacLachlan and Christoph Mertz and Arne Suppe and Chieh-Chih Wang",
   title = "Safe Robot Driving in Cluttered Environments",
   booktitle = "Proceedings of the 11th International Symposium of Robotics Research",
   month = "October",
   year = "2003",
}

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