Automatic landmine detection: to develop new intelligent algorithmic schemes for automatic real-time detection of landmines

This project will build on previous work undertaken as part of the FP7 project D-BOX. It will aim to develop new intelligent algorithmic schemes for automatic real-time detection of landmines through data fusion of heterogeneous sensor data, such as ground penetrating radar (GPR) and metal detector (MD) data. The outcome of the project will be a real-time self-learning autonomous system that will be able to detect landmines with a high accuracy taking into account environmental factors. ). The suitability of using an Unmanned Arial Vehicle for collection of GPR data will also be explored as part of the project.

Collaboration with a Japanese University has been established. They have provided a unique set of real test data – simultaneously taken GPR and MD data which will be used to validate the algorithms. Contacts have been established with industry (Cobham) and stakeholders (Demining companies).