Safe robot driving

• Main Authors: THORPE, Chuck, AUFRERE, Romuald, CARLSON, Justin David, DUGGINS, David, FONG, Terrence W., GOWDY, Jay, KOZAR, John, MACLACHLAN, Robert, MCCABE, Colin, MERTZ, Christoph, Arne SUPPE, WANG, Chieh Chih, YATA, Teruko
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2002
• Subjects: Graphics and Human Computer Interfaces; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/8283; https://ink.library.smu.edu.sg/context/sis_research/article/9286/viewcontent/thorpe_02b.pdf
• Institution: Singapore Management University

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.