Abstract
The metal detector is the most widely used sensor in humanitarian demining. However, it does not provide enough information for the detection of objects with a low metal content. In this paper, we propose to combine it with other sensors, as investigated within HUDEM, a technology exploration project on humanitarian demining. Based on the specificities of such objects, we propose a method for modelling and fusion of measures extracted from the sensors in the framework of the DempsterShafer theory. We show how these objects can be distinguished from non-metallic and highly metallic ones. We also discuss how the proposed method deals with situations where the sensors do not detect the same object.
| Original language | English |
|---|---|
| Pages (from-to) | 51-61 |
| Number of pages | 11 |
| Journal | Integrated Computer-Aided Engineering |
| Volume | 10 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2003 |
Keywords
- Dempster-Shafer theory
- Discounting factors
- Humanitarian mine detection
- Low-metal content objects
- Mass assignment
- Sensor clustering
- Sensor fusion