Title :
Parzen method for fusion of laserscanner data: Application to pedestrian detection
Author :
Gidel, Samuel ; Checchin, Paul ; Blanc, Christophe ; Chateau, Thierry ; Trassoudaine, Laurent
Author_Institution :
CNRS, Univ. Blaise Pascal, Aubiere
Abstract :
This article deals with the detection of pedestrians by means of a laser sensor. This sensor placed on the front of a vehicle collects information about distance distributed according to 4 horizontal planes. Like a vehicle, a pedestrian constitutes in the vehicle environment an obstacle which must be detected, located, then identified and tracked if necessary. In order to improve the robustness of pedestrian detection using a single laser sensor this article propose a detection system based on the fusion of information located in the 4 horizontal laser planes. A "Parzen Window" kernel method is described and allows the centralized fusion of different planes. Many experimental results validate and show the relevance of our pedestrian detection algorithm in regard to a method using only a single-row laser-range scanner.
Keywords :
object detection; optical scanners; optical sensors; sensor fusion; Parzen method; data fusion; laser sensor; pedestrian detection; single-row laser-range scanner; Infrared sensors; Laser applications; Laser fusion; Laser modes; Laser radar; Mobile robots; Radar detection; Radar tracking; Robot sensing systems; Vehicle detection;
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
DOI :
10.1109/IVS.2008.4621166