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Navlab: The Carnegie Mellon University Navigation Laboratory

The CMU Navlab group builds computer-controlled vehicles for automated and assisted driving. Since 1984, we have built a series of robot cars, vans, SUVs, and buses. The latest in our Navlab family is the Navlab 11, a robot Jeep Wrangler equipped with a wide variety of sensors for short-range and mid-range obstacle detection.

NavLab11

Videos [format]

  1. Docking Navlab 11 to 3cm without special infrastructure (Rob MacLachlan & Christoph Mertz) [mpg]
  2. Driving Navlab 11 remotely with PdaDriver (Terry Fong & Jay Gowdy) [mpg]
  3. Navlab 85 to 97 [mpg]
  4. Pedestrian Detection (Liang Zhao) [mpg]
  5. Optical flow detection of overtaking vehicles [mpg]
  6. Radar ghost target rejection by fusion with video [mpg]
  7. Long-range obstacle detection by stereo video (Todd Williamson) [mpg]
  8. Fusion of radar targets with lane map and corresponding map result [mpg]
PhD Theses
  1. Chieh-Chih Wang, Simultaneous Localization, Mapping and Moving Object Tracking, April 2004.
  2. Terry Fong, Collaborative Control: A Robot-Centric Model for Vehicle Teleoperation, December 2001.
  3. Liang Zhao, Dressed Human Modeling, Detection, and Parts Localization, July 2001.
  4. Jay Gowdy, Emergent Architectures: A Case Study of Outdoor Mobile Robots, November 2000.
  5. Parag Batavia, Driver-Adaptive Lane Departure Warning Systems, September 1999.
  6. John Hancock, Laser Intensity-Based Obstacle Detection and Tracking, February 1999.
  7. Todd Williamson, A High-Performance Stereo Vision System for Obstacle Detection, October 1998.
  8. Barry Brumitt, A Mission Planning System for Multiple Mobile Robots in Unknown, Unstructured, and Changing Environments, January, 1998.
  9. Rahul Sukthankar, Situation Awareness for Driving in Traffic, January 1997.
  10. Julio Rosenblatt, DAMN: A Distributed Architecture for Mobile Navigation, January 1997.
  11. Dirk Langer, An Integrated MMW Radar System for Outdoor Navigation, January 1997.
  12. Jennifer Kay, Remote Driving with Limited Image Data, December 1996.
  13. Ian Davis, A Modular Neural Network Approach to Autonomous Navigation, May, 1996.
  14. R. Craig Coulter, Autonomous Speed Control for Conventional Vehicles, March, 1996.
  15. Todd Jochem, Using Virtual Active Vision Tools to Improve Autonomous Driving Tasks, January 1996.
  16. Alonzo Kelly, An Intelligent Predictive Control Approach to the High-Speed Cross-Country Autonomous Navigation Problem, August, 1995.
  17. Karl Kluge, YARF: A System for Adaptive Navigation of Structured City Roads, February 1993.
  18. Dean Pomerleau, Neural Network Perception for Mobile Robot Guidance, February 1992.
  19. Jill Crisman, Color Vision for the Detection of Unstructured Roads and Intersections, May 1990.
  20. Anthony Stentz, The NAVLAB System for Mobile Robot Navigation, October 1989.

Current information on subprojects, personnel, and publications can be found on the offical Robotics Institute Navlab home page.