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. More recent researches of Navlab expand to smart infrastructure, focusing on machine vision application and affordable sensors. Current projects include:
- road infrastructure inventory with a vehicle-mounted smart camera.
- Scene Modeling with Visual Structure From Motion.
- Navlab 11, the latest vehicle in our Navlab family, a robot Jeep Wrangler equipped with a wide variety of sensors for short-range and mid-range obstacle detection.
People of Navlab
- Martial Hebert
- Christoph Mertz
- Luis Ernesto Navarro-Serment
- Bernardo F R Esteves Pires
- Aaron Steinfield
- Docking Navlab 11 to 3cm without special infrastructure (Rob MacLachlan & Christoph Mertz) [mpg]
- Driving Navlab 11 remotely with PdaDriver (Terry Fong & Jay Gowdy) [mpg]
- Navlab 85 to 97 [mpg]
- Pedestrian Detection (Liang Zhao) [mpg]
- Optical flow detection of overtaking vehicles [mpg]
- Radar ghost target rejection by fusion with video [mpg]
- Long-range obstacle detection by stereo video (Todd Williamson) [mpg]
- Fusion of radar targets with lane map and corresponding map result [mpg]