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Safe Robot Driving

Chuck Thorpe, Romuald Aufrere, Justin David Carlson, David Duggins, Terrence W. Fong, Jay Gowdy, John Kozar, Robert MacLachlan, Colin McCabe, Christoph Mertz, Arne Suppe, Chieh-Chih Wang and Teruko Yata
Conference Paper, Carnegie Mellon University, Proceedings of the International Conference on Machine Automation (ICMA 2002), September, 2002

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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.

BibTeX Reference
@conference{Thorpe-2002-8535,
title = {Safe Robot Driving},
author = {Chuck Thorpe and Romuald Aufrere and Justin David Carlson and David Duggins and Terrence W. Fong and Jay Gowdy and John Kozar and Robert MacLachlan and Colin McCabe and Christoph Mertz and Arne Suppe and Chieh-Chih Wang and Teruko Yata},
booktitle = {Proceedings of the International Conference on Machine Automation (ICMA 2002)},
keyword = {short range sensing, video, rangefinder, detecting and tracking},
school = {Robotics Institute , Carnegie Mellon University},
month = {September},
year = {2002},
address = {Pittsburgh, PA},
}
2017-09-13T10:45:01+00:00