@article{ref1,
title="Pedestrian detection and tracking using three-dimensional LADAR data",
journal="International journal of robotic research",
year="2010",
author="Navarro-Serment, Luis E. and Mertz, Christoph and Hebert, Martial",
volume="29",
number="12",
pages="1516-1528",
abstract="The approach investigated in this work employs three-dimensional LADAR measurements to detect and track pedestrians over time. The sensor is em- ployed 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 classifles each object using statistical pattern recognition techniques. The al- gorithm uses geometric and motion features to recognize human signatures. The perceptual capabilities described form the basis for safe and robust nav- igation in autonomous vehicles, necessary to safeguard pedestrians operating in the vicinity of a moving robotic vehicle.<p />",
language="",
issn="0278-3649",
doi="10.1177/0278364910370216",
url="http://dx.doi.org/10.1177/0278364910370216"
}