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IJRR
2010

Pedestrian Detection and Tracking Using Three-dimensional LADAR Data

10 years 2 months ago
Pedestrian Detection and Tracking Using Three-dimensional LADAR Data
The approach investigated in this work employs three-dimensional LADAR measurements to detect and track pedestrians over time. The sensor is employed on a moving vehicle. The algorithm quickly detects the objects which have the potential of being humans using a subset of these points, and then classifies each object using statistical pattern recognition techniques. The algorithm uses geometric and motion features to recognize human signatures. The perceptual capabilities described form the basis for safe and robust navigation in autonomous vehicles, necessary to safeguard pedestrians operating in the vicinity of a moving robotic vehicle.
Luis E. Navarro-Serment, Christoph Mertz, Martial
Added 28 Jan 2011
Updated 28 Jan 2011
Type Journal
Year 2010
Where IJRR
Authors Luis E. Navarro-Serment, Christoph Mertz, Martial Hebert
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