Title :
Voting fusion adaptation for landmine detection
Author :
Kacelenga, Ray ; Erickson, Dave ; Palmer, David
Author_Institution :
Gen. Dynamics Canada Ltd., Calgary, Alta., Canada
Abstract :
This paper presents a voting fusion application for use with a remotely controlled multisensor vehicle platform for antitank landmine detection. Data from three landmine detection sensors mounted at the front of the vehicle enhance the probability of detection and, when combined via data fusion, limit the false alarm density to practical levels. The performance of the voting fusion scheme presented in this paper is contrasted with a heuristic data fusion approach developed by General Dynamics Canada.
Keywords :
buried object detection; remote sensing; sensor fusion; General Dynamics Canada; antitank landmine detection; data fusion; false alarm density; heuristic data fusion approach; performance; probability detection; remotely controlled multisensor vehicle platform; voting fusion adaptation; Infrared sensors; Landmine detection; Radar detection; Research and development; Sensor fusion; Sensor systems; Thermal sensors; Vehicle detection; Vehicle dynamics; Voting;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021171