The paper deals with design and modelling of four cost-effective crawling robots for landmine localization in uneasy accessible areas covered by thick vegetation. As a universal solution to the landmine problem is unlikely to be achieved in the short time, according to what many other researchers think, time is worth spent on trying to solve a specific aspect of the global problem, rather then ...

Landmines, specifically anti-tank mines, cluster bombs, and unexploded ordnance form a serious problem in many countries. Several landmine sweeping techniques are used for minesweeping. This paper presents the design and the implementation of the vision system of an autonomous robot for landmines localization. The proposed work develops state-of-the-art techniques in digital image processing fo...

This paper presents a few properties of the polarization tensor for conducting and magnetic objects to describe and classify the objects. In order to achieve this, the polarization tensor of the objects are numerically determined by the previous hp-FEM method. We then focus on the polarization tensor for magnetic but non-conducting objects. After that, the polarization tensor for translated and...

This paper presents a design for a visual display to be added to mine detection equipment. It is an application of the tenets of calm computing to a safety-critical system by putting cognition outside the mind, aligning inputs within the centre of attention and along the periphery, and juxtaposing stimuli in close proximity to the source of the information, all with the aim of increasing safety...

This paper proposes multitask learning to tackle several problems in remote sensing data classification. The method alleviates sample selection bias by imposing cross-information in the classifiers through matrix regularization. We consider the support vector machine as core learner and two regularization schemes for multitask learning. In the first one, we use the Euclidean distance of the pre...

A laboratory-scale experimental model has been developed and tested for a system that uses artificially generated high-frequency seismic waves in conjunction with a radar-based noncontact displacement sensor to detect buried landmines. The principle of operation of the system is to measure the transient displacement field very close to a mine location. In this way, the absorption and the geomet...

We develop methods for automatic detection and localization of landmines using chemical sensor arrays and statistical signal processing techniques. The transport of explosive vapors emanating from buried landmines is modeled as a diffusion process in a two-layered system consisting of ground and air. Measurement and statistical models are then obtained from the associated concentration distribu...