Safe robot driving in cluttered environments

• Main Authors: THORPE, Chuck, CARLSON, Justin, DUGGINS, Dave, GOWDY, Jay, MACLACHLAN, Rob, MERTZ, Christoph, SUPPE, Arne, WANG, Bob
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2003
• Subjects: Range Sensor; Obstacle Detection; Pedestrian Detection; Cluttered Environment; Unmanned Ground Vehicle; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/8236; https://ink.library.smu.edu.sg/context/sis_research/article/9239/viewcontent/SAFE_ROBOTS.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.