Safe Robot Driving in Cluttered Environments

Autor:	D Duggins, Christoph Mertz, Arne Suppe, Robert A. MacLachlan, Charles E. Thorpe, Jay Gowdy, Bob Wang, Justin Carlson
Rok vydání:	2005
Předmět:	Focus (computing) Software Unmanned ground vehicle Computer science business.industry Pedestrian detection Obstacle Process (computing) Intelligent decision support system Robot Computer vision Artificial intelligence business
Zdroj:	Springer Tracts in Advanced Robotics ISBN: 9783540232148 ISRR
DOI:	10.1007/11008941_29
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::39299e7fa05276617a4af87031fb1106 https://doi.org/10.1007/11008941_29 Zobrazit plný text záznamu