Mine Hunter/Killer (MH/K) is an Advanced Technology Demonstration (ATD) program directed by the Army Night Vision Electronic Sensors Directorate (NVESD). The MH/K system consists of a vehicle-mounted system that detects and neutralizes surface and buried anti-tank (AT) mines. The detection element in this program consists of a Close-In Detection (CID) System that relies on a multi-sensor configuration. The CID System consists of three sensors: a ground penetrating radar (GPR), a metal detector (MD) and a forward-looking infrared (FLIR) imaging system. TRW S&ITG has provided support for analysis, testing and algorithm development for Automatic Target Recognition (ATR) and sensor fusion processing. This paper presents a multi-sensor fusion approach developed by TRW under this effort. In this approach, the incoming alarms from the three sensors are segregated into five classes, based on spatial coincidence of GPR and MD alarms, and on the presence of a surface null in the GPR depth profile. This GPR null, or "notch", is indicative of shallowly buried objects or clutter, and helps in the discrimination against false alarms originating near the surface. Target and clutter statistics are aggregated in each class, and used in Bayes' rule to derive a fused confidence. Alarms whose confidence exceeds a threshold are reported as mines. The threshold adapts to the local alarm density, attempting to maintain a constant false alarm rate (CFAR). This paper describes this fusion methodology and the adaptive threshold method in detail, shows the target and clutter probability density functions for each class, and shows results from recent field tests. Fused results are compared with single sensor performance, and strengths and weaknesses of each sensor are discussed.
Multi-sensor fusion for vehicle mounted mine detection
2001
9 Seiten, 2 Quellen
Conference paper
English
Sensor data fusion for mine detection from a vehicle-mounted system
Tema Archive | 2000
|Vehicle-mounted multi-sensor fusion data transmission system
European Patent Office | 2024
|Vehicle-mounted multi-sensor fusion device and control method thereof
European Patent Office | 2022
|Low-power-consumption detection method for multi-sensor fusion vehicle-mounted anti-theft system
European Patent Office | 2022
|