Sensor fusion for anti personnel landmine detection, a case study

被引：16

作者：

den Breejen, E ^{[1
]}

Schutte, K ^{[1
]}

Cremer, F ^{[1
]}

机构：

[1] TNO, Phys & Elect Lab, NL-2509 JG The Hague, Netherlands

来源：

DETECTION AND REMEDIATION TECHNOLOGIES FOR MINES AND MINELIKE TARGETS IV, PTS 1 AND 2 | 1999年 / 3710卷

关键词：

sensor fusion; multi sensor; Bayes; Dempster-Shafer; fuzzy probabilities; rules; landmine;

D O I：

10.1117/12.357003

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper the multi sensor fusion results obtained within the European research project GEODE (Ground Explosive Ordnance Detection system) are presented. The lay out of the test lane and the individual sensors used are described. The implementation of the SCOOP algorithm improves the ROC curves, as the false alarm surface and the number of false alarms both are taken into account. The confidence grids, as produced by the sensor manufacturers, of the sensors are used as input for the different sensor fusion methods implemented. The multi sensor fusion methods implemented are Bayes, Dempster-Shafer, fuzzy probabilities and rules. The mapping of the confidence grids to the input parameters for fusion methods is an important step. Due to limited amount of the available data the entire test lane is used for training and evaluation. All four sensor fusion methods provide better detection results than the individual sensors.

引用

页码：1235 / 1245

页数：11