Safe robot driving in cluttered environments

Chuck Thorpe, Justin Carlson, Dave Duggins, Jay Gowdy, Rob MacLachlan, Christoph Mertz, Arne Suppe, Chieh-Chih Wang

Research output: Contribution to journalArticle

4 Scopus citations


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.

Original languageEnglish
Pages (from-to)271-280
Number of pages10
JournalSpringer Tracts in Advanced Robotics
StatePublished - 1 Dec 2005

Fingerprint Dive into the research topics of 'Safe robot driving in cluttered environments'. Together they form a unique fingerprint.

  • Cite this

    Thorpe, C., Carlson, J., Duggins, D., Gowdy, J., MacLachlan, R., Mertz, C., Suppe, A., & Wang, C-C. (2005). Safe robot driving in cluttered environments. Springer Tracts in Advanced Robotics, 15, 271-280.