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» A Layered Approach to People Detection in 3D Range Data
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AAAI
2010
13 years 5 months ago
A Layered Approach to People Detection in 3D Range Data
People tracking is a key technology for autonomous systems, intelligent cars and social robots operating in populated environments. What makes the task difficult is that the appea...
Luciano Spinello, Kai Oliver Arras, Rudolph Triebe...
IJSR
2010
181views more  IJSR 2010»
13 years 2 months ago
Multi-Part People Detection Using 2D Range Data
People detection is a key capacity for robotics systems that have to interact with humans. This paper addresses the problem of detecting people using multiple layers of 2D laser ra...
Óscar Martínez Mozos, Ryo Kurazume, ...
ICRA
2010
IEEE
108views Robotics» more  ICRA 2010»
13 years 2 months ago
Robust place recognition for 3D range data based on point features
Abstract— The problem of place recognition appears in different mobile robot navigation problems including localization, SLAM, or change detection in dynamic environments. Wherea...
Bastian Steder, Giorgio Grisetti, Wolfram Burgard
IROS
2008
IEEE
243views Robotics» more  IROS 2008»
13 years 10 months ago
Fast plane detection and polygonalization in noisy 3D range images
— A very fast but nevertheless accurate approach for surface extraction from noisy 3D point clouds is presented. It consists of two parts, namely a plane fitting and a polygonal...
Jann Poppinga, Narunas Vaskevicius, Andreas Birk 0...
ICCV
2007
IEEE
14 years 6 months ago
3D object recognition from range images using pyramid matching
Recognition of 3D objects from different viewpoints is a difficult problem. In this paper, we propose a new method to recognize 3D range images by matching local surface descripto...
Xinju Li, Igor Guskov