The detection and classification of moving objects is a key task in many control systems. This paper presents a solution for this problem based on a laser range scanner.
The method can be summarized as follows. A set of 3D data points on the object surface is obtained using the scanner.
A small number of features is then computed to represent the object boundary. In fact, three alternative features are considered. Classification algorithms are then designed and evaluated using real data. The experimental tests show that the proposed techniques allow a robust classification of moving objects based on range information.
%0 Conference Paper
%1 Med-2002
%A Lourenco, Andre
%A Freitas, Pedro
%A Ribeiro, M. Isabel
%A Marques, Jorge S.
%B MED'2002, 10th Mediterranean Conference on Control and Automation
%C Lisbon
%D 2002
%K 3D_Moving_Objects Classification Detection Feature_Extraction Laser
%T Detection and Classification of 3D moving objects
%X The detection and classification of moving objects is a key task in many control systems. This paper presents a solution for this problem based on a laser range scanner.
The method can be summarized as follows. A set of 3D data points on the object surface is obtained using the scanner.
A small number of features is then computed to represent the object boundary. In fact, three alternative features are considered. Classification algorithms are then designed and evaluated using real data. The experimental tests show that the proposed techniques allow a robust classification of moving objects based on range information.
@inproceedings{Med-2002,
abstract = {The detection and classification of moving objects is a key task in many control systems. This paper presents a solution for this problem based on a laser range scanner.
The method can be summarized as follows. A set of 3D data points on the object surface is obtained using the scanner.
A small number of features is then computed to represent the object boundary. In fact, three alternative features are considered. Classification algorithms are then designed and evaluated using real data. The experimental tests show that the proposed techniques allow a robust classification of moving objects based on range information.},
added-at = {2009-10-25T21:15:08.000+0100},
address = {Lisbon},
author = {Lourenco, Andre and Freitas, Pedro and Ribeiro, M. Isabel and Marques, Jorge S.},
biburl = {https://www.bibsonomy.org/bibtex/22304f5c918657a6a0c4aa9ce348d0dbc/alourenco},
booktitle = {MED'2002, 10th Mediterranean Conference on Control and Automation},
interhash = {4ee6d3dcfce4c5ae162d7ab254cc4f35},
intrahash = {2304f5c918657a6a0c4aa9ce348d0dbc},
keywords = {3D_Moving_Objects Classification Detection Feature_Extraction Laser},
timestamp = {2009-10-25T21:15:08.000+0100},
title = {Detection and Classification of 3D moving objects},
year = 2002
}