Safe Robot Driving
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
@conference{Thorpe-2002-8535,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},
title = {Safe Robot Driving},
booktitle = {Proceedings of International Conference on Machine Automation (ICMA '02)},
year = {2002},
month = {September},
keywords = {short range sensing, video, rangefinder, detecting and tracking},
}