We address classification problems for which the training instances are governed by an input distribution that is allowed to differ arbitrarily from the test distribution—problems also referred to as classification under covariate shift. We derive a solution that is purely discriminative: neither training nor test distribution are modeled explicitly. The problem of learning under covariate shif...

Virginia Tech is currently developing a new autonomous vehicle as a research platform. This vehicle is being used to investigate techniques in autonomous landmine/UXO detection. In addition, it was entered in the 2000 Intelligent Ground Vehicle Competition. This vehicle senses its surroundings using two (non-stereo) color CCD cameras, a SICK laser range finder, and wheel encoders. The cameras g...

The losses of developing countries from landmines accidents are very large. Thus, the need for new techniques to improve the efficiency of Landmines tracking systems is evident. In the recent years, many of research efforts have been directed to develop new and improved landmine detection methods. However, the increased costs of improving these methods led to drive up their prices. Thus they wi...

This paper presents two new strategies for navigation of a swarm of robots for target/mission focused applications including landmine detection and firefighting. The first method presents an embedded fuzzy logic approach in the particle swarm optimization (PSO) algorithm robots and the second method presents a swarm of fuzzy logic controllers, one on each robot. The framework of both strategies...

In this paper, we present a method for detecting antitank or anti-personnel landmines buried in the ground. A set of data generated by a ground penetrating radar is processed to remove the surface reflection and clutter, yielding signals for possible landmines. In order to detect landmines in the signals, features are computed and compared against a database, which contains those of various lan...

The main objective of paper is to design and implement a high speed processing system with high throughput and low complexity. We are using system on chip using AMBA bus. This high speed processing system is application specific. This system will be used for landmine detection during wars as high speed processing is need of application. Firstly input processor will be designed as per the applic...

Ground-penetrating radar (GPR) is a mature technology which has developed into a popular tool for subsurface imaging; however its application in landmine detection is still in its infancy. Landmines are typically buried in dispersive soils below a rough surface where the effectiveness of conventional air-coupled GPR is limited. By utilizing ground-contact antennas the signal penetration is dram...

Landmines and unexploded ordnance pose a significant international public health risk and economic threat. Worldwide, an estimated 60 to 110 million anti-personnel landmines have been placed in >70 countries. According to UN sources, as many as two million new mines are laid every year, but due to the high cost of removal, only 200,000 mines are defused each year. Landmines pose a serious ongoi...

In the presence of realistic soil inhomogeneities and surface clutter, employment of high-energy photon radiation (x rays or gamma rays) for landmine detection requires mine-feature imaging with centimeter spatial resolution. An x-ray backscatter method has been developed with photon detection efficiency sufficiently high such that an electric power requirement of only hundreds of watts yields ...