Bayesian sensor fusion for multi-platform landmines detection

Prado, Jose; Filipe, Sérgio R.; Marques, Lino

doi:10.1109/ecmr.2015.7324194

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…Furthermore, soils with large amounts of metallic shrapnel and soils with pronounced magnetic properties, as typically prevalent in the tropics and subtropics, may render MD unsuitable at those sites (e.g., Butler, 2003; Das, 2006; Preetz et al., 2008). For such cases, ground penetrating‐radar (GPR) has become an alternative either as a stand‐alone detector (Daniels, 2008, 2009; Kasban et al., 2010) or as a dual sensor combining MD and GPR for imaging, for example, anti‐personnel mines and small metal fragments with the same device (e.g., Bruschini et al., 1998; Daniels, 2009; Prado et al., 2015; Takahashi & Sato, 2008).…”

Section: Introductionmentioning

confidence: 99%

Realistic simulation of GPR for landmine and IED detection including antenna models, soil dispersion and heterogeneity

Stadler,

Schennen,

Hiller

et al. 2023

Near Surface Geophysics

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Ground‐penetrating radar (GPR) is an effective tool for detecting landmines and improvised explosive devices (IEDs), and its performance is strongly influenced by subsurface properties as well as the characteristics of the target. To complement or replace labour‐intensive experiments on test sites, cost‐efficient electromagnetic wave propagation simulations using the Finite‐Difference Time‐Domain (FDTD) method are being increasingly used. However, to obtain realistic synthetic data, accurate modelling of signal alteration caused by dispersion, scattering of soil material, target contrast, shape, and inner setup, as well as the coupling effects of the antenna to the ground is required. In this study, we present a detailed 3D model of a shielded GPR antenna applied to various scenarios containing metallic and non‐metallic targets buried in different soils. The frequency‐dependent intrinsic material properties of soil samples were measured with the coaxial transmission‐line technique, while a discrete random media was used to implement the heterogeneity of a gravel based on its grain‐size distribution. Our simulations show very good agreement with experimental validation data collected under controlled conditions. We accurately reproduce the amplitude and frequency content, phase of target signals, subsurface's background noise, antenna crosstalk and its interference with target signals, and the effect of antenna elevation. The approach allows for systematic investigation of the effects of soil, target, and sensor properties on detection performance, providing insight into novel and complex GPR scenarios and the potential for a wide range of simulation possibilities for demining with GPR. These investigations have the potential to improve the safety and effectiveness of landmine and IED detection in the future, such as building a database for training deminers or developing automatic signal pattern recognition algorithms.This article is protected by copyright. All rights reserved

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Section: Introductionmentioning

confidence: 99%

Realistic simulation of GPR for landmine and IED detection including antenna models, soil dispersion and heterogeneity

Stadler,

Schennen,

Hiller

et al. 2023

Near Surface Geophysics

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“…While, Prado et al conducted a sensor fusion model to classify landmines in a scanned floor area. The presented Bayesian decision level fusion enhanced the Probability of Detecting (PoD) landmines and decrease the rate of False Alarms Rates (FAR) [32]. Also, an efficient remote-controlled robotic vehicle produced by Alauddin et al [33] to detect landmine and metals.…”

Section: Introductionmentioning

confidence: 99%

Multi-function intelligent robotic in metals detection applications

2019

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Recent technologies for robotics have been offered an effective and efficient solution to safeguard workers from risks in their work environments. These risks involve radioactive, toxic, explosive and mines. In this paper, design and implement computer robot based on metal detection as well as avoiding obstacles automatically. The proposed wireless controlled robotic vehicle can be used in metal detection applications such as landmine detection, obstacles avoidance, selecting best routing without imposing human's harms and workforce aspects. The robotic wheel can sense the obstacles that positioning at ahead of its path, and also avoids the obstacles forward, left and right of its routes. The robot is controlled by using Bluetooth wireless communication to interface between the controller and the implemented robot. Furthermore, sensor IR (FC-03) for the metal detector and used ultrasonic sensor (HC-SR04) for objects or obstacles sensing. The presented controlled robotic designed for desert and dry soil that can replace the human role in avoiding obstacles and metal detection capabilities. The produced robot was useful due to it can detect metals and avoiding obstacles consecutively besides it was effective to select the best route based on the intelligent technique that adopted, the predefined metals by using an intelligent decision maker for route finder in a flat surface environment.

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