Filters








56 Hits in 6.1 sec

Landmine detection technology research in the Netherlands

H. M. A. Schleijpen, Russell S. Harmon, John H. Holloway, Jr., J. T. Broach
2003 Detection and Remediation Technologies for Mines and Minelike Targets VIII  
This paper gives an overview of the activities on research and development in the technology area for landmine detection in the Netherlands.  ...  Signal processing and Sensor fusion are key activities in this area and examples of these activities are shown as well.  ...  Tests show that both anti-tank (AT) and anti-personnel (AP) landmines could be detected down to at least five centimeters of depth.  ... 
doi:10.1117/12.488511 fatcat:xgwgubruq5gqbbnd6764cfm6h4

A comparison of decision-level sensor-fusion methods for anti-personnel landmine detection

F. Cremer, K. Schutte, J.G.M. Schavemaker, E. den Breejen
2001 Information Fusion  
Voles [34] calculated that an evaluation set of 1000 landmines is needed and at maximum one landmine may be missed, to be able to claim this detection rate with a con®dence of 98%.  ...  The proposed landmine-detection systems dier on a number of accounts: · sensors and sensor location, · fusion level, · fusion method, · fusion input/output.  ...  This consortium consisted of the same organisations (except for Demira) together with ELTA Electronics Industries Ltd, Israel and Marconi Communications, Italy.  ... 
doi:10.1016/s1566-2535(01)00034-3 fatcat:i6gbolqfbfepnc3st4z5r27zrq

Development of region processing algorithm for HSTAMIDS: status and field test results

Peter Ngan, Sean Burke, Roger Cresci, Joseph N. Wilson, Paul Gader, K. C. Ho, Elizabeth Bartosz, Herbert Duvoisin, Russell S. Harmon, J. Thomas Broach, John H. Holloway, Jr.
2007 Detection and Remediation Technologies for Mines and Minelike Targets XII  
For large anti-tank landmines, almost all swings pass through the landmine center and it is not necessary to use all sweeps.  ...  The model-based region processing algorithms for GPR and EMI will be briefly described in Section 3, together with the fusion technique of the EMI and GPR features.  ... 
doi:10.1117/12.723756 fatcat:62hxa3alrrhnrks4uxw6uxercu

Random set framework for multiple instance learning

Jeremy Bolton, Paul Gader, Hichem Frigui, Pete Torrione
2011 Information Sciences  
The testing was performed on a dataset consisting of signals collected from buried anti--tank and anti--personnel landmines, metallic and non--metallic emplaced clutter objects, and regions with no emplaced  ...  ABSTRACT Final Report: Multi-object Detection and Discrimination Algorithms Report Title This document contains an overview of research and work performed and published at the University of Florida from  ... 
doi:10.1016/j.ins.2010.12.020 fatcat:vfsnlmgmrbhlpaue5evcj35kf4

Combining Electromagnetic Spectroscopy and Ground-Penetrating Radar for the Detection of Anti-Personnel Landmines

Liam A. Marsh, Wouter van Verre, John L. Davidson, Xianyang Gao, Frank J. W. Podd, David J. Daniels, Anthony J. Peyton
2019 Sensors  
Dual mode detectors combining metal detection and ground-penetrating radar are increasingly being used during humanitarian demining operations because of their ability to discriminate metal clutter.  ...  be used for the potential classification of such items.  ...  Inductive metal detection (MD) technology is at the forefront of landmine detection and has been for several decades [7] .  ... 
doi:10.3390/s19153390 fatcat:7ehsm2lldbe3jp7bvhjzrqdhrq

Strength of landmine signatures under different soil conditions: implications for sensor fusion

Remke L. Van Dam *, Brian Borchers, Jan M. H. Hendrickx
2005 International Journal of Systems Science  
Most sensors for the detection of buried landmines are influenced by the properties of the soil that surrounds the mine.  ...  The temporal and spatial variability in soil properties accounts for a significant part of the detection uncertainty that is associated with most sensors.  ...  Harmon, Senior Program Manager at the Army Research Office, for his valuable advice and support.  ... 
doi:10.1080/00207720500147800 fatcat:cf6di5im2rdkzkkm4zfgems7em

Ensemble hidden Markov models with application to landmine detection

Anis Hamdi, Hichem Frigui
2015 EURASIP Journal on Advances in Signal Processing  
We propose both discrete and continuous versions of the eHMM. Our approach was evaluated on a real-world application for landmine detection using ground-penetrating radar (GPR).  ...  For each fitted model, we evaluate the log-likelihood of each sequence.  ...  The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Office  ... 
doi:10.1186/s13634-015-0260-8 fatcat:ewllgn5lkbdv7l4x35btytlage

New Mexico Tech landmine, UXO, IED detection sensor test facility: measurements in real field soils

Jan M. H. Hendrickx, Nicole Alkov, Sung-ho Hong, Remke L. Van Dam, Jan Kleissl, Heather Shannon, John Meason, Brian Borchers, Russell S. Harmon, J. Thomas Broach, Russell S. Harmon, John H. Holloway, Jr.
2006 Detection and Remediation Technologies for Mines and Minelike Targets XI  
In three wooden frames of 2 × 2 × 1 meter, filled with different soil types (sand, loam, and clay), we buried low-metal anti-tank and antipersonnel land mine simulants.  ...  Modeling studies and experimental work have demonstrated that soil physical properties have a significant effect on most sensors for the detection of buried land mines.  ...  ACKNOWLEDGEMENTS The work at New Mexico Tech was funded by a grant from the Army Research Office (DAAD19-02-1-027) and partial support by the Energetic Materials Research and Testing Center of New Mexico  ... 
doi:10.1117/12.665644 fatcat:pdefwu7yrrcnnkhg6gqzmplala

Multiple Instance Mamdani Fuzzy Inference

Amine B. Khalifa, Hichem Frigui
2015 International Journal of Fuzzy Logic and Intelligent Systems  
Additionally, we apply the proposed multiple instance inference to fuse the output of multiple discrimination algorithms for the purpose of landmine detection using Ground Penetrating Radar.  ...  The proposed framework is tested and validated using a synthetic dataset suitable for MIL problems.  ...  Fusion of Multiple Landmine Detection Algorithms Using MI-Mamdani In the following, we apply the proposed multiple instance inference to fuse the output of multiple discrimination algorithms for the purpose  ... 
doi:10.5391/ijfis.2015.15.4.217 fatcat:tsypypavhrgtnogywus7ofsima

Multi-stream continuous hidden Markov models with application to landmine detection

Oualid Missaoui, Hichem Frigui, Paul Gader
2013 EURASIP Journal on Advances in Signal Processing  
We illustrate the performance of the proposed MSCHMM structures using synthetic data sets. We also apply them to the problem of landmine detection using ground penetrating radar.  ...  Third, we generalize the maximum likelihood based Baum-Welch algorithm and the minimum classification error/gradient probabilistic descent (MCE/GPD) learning algorithms to include stream relevance weights  ...  KSEF-2079-RDE-013 with the Kentucky Science and Technology Corporation. The views and conclusions  ... 
doi:10.1186/1687-6180-2013-40 fatcat:saury3tverd43p7bh25tzhxhjm

Service Robots and Humanitarian Demining [chapter]

Maki K.
2006 Mobile Robots: towards New Applications  
Its V-shaped chassis and sacrificial wheels minimize damage from anti-personnel mine or UXO detonation and provide some protection against anti-tank mines.  ...  discriminate landmines from other buried objects and metallic debris, and enhance safety and protection for deminers.  ...  The range of potential applications for mobile robots is enormous.  ... 
doi:10.5772/4704 fatcat:vwyqtpiyibgbzh535u3pdvlv4u

A controlled outdoor test site for evaluation of soil effects on landmine detection sensors

Remke L. van Dam, Jan M. Hendrickx, Brian Borchers, Sung Hong, Timothy W. Miller, Russell S. Harmon, Russell S. Harmon, J. Thomas Broach, John H. Holloway, Jr.
2004 Detection and Remediation Technologies for Mines and Minelike Targets IX  
In three wooden frames of 2 × 2 × 1 meter, filled with different soil types (sand, loam, and clay), we buried low-metal anti-tank and anti-personnel land mine simulants.  ...  Previous modeling studies and experimental work have demonstrated that soil physical properties have a significant effect on most sensors for the detection of buried land mines.  ...  During the construction of the site the staff of the Physical Plant was always available for digging holes, moving dirt around, and providing general assistance.  ... 
doi:10.1117/12.540723 fatcat:fdqlhyfhzvhc5pg2b4gy35l6bu

Demining sensor modeling and feature-level fusion by Bayesian networks

S. Ferrari, A. Vaghi
2006 IEEE Sensors Journal  
The effectiveness of the approach is demonstrated by implementing these BN tools for the detection and classification of metal and plastic landmines that are characterized by different shape, size, depth  ...  Through BN fusion, the accuracy of the feature estimates is improved by up to 64% with respect to single-sensor measurements, and the number of objects that are both detected and classified is increased  ...  Anti-tank mines (ATM), anti-personnel mines (APM), unexploded ordnance (UXO), and clutter objects (CLUT) have been reproduced based on the Ordata Database [22] .  ... 
doi:10.1109/jsen.2006.870162 fatcat:tkwy3ga6s5ajjpnvdikjrfh5wm

Humanitarian Demining: Reality and the Challenge of Technology – The State of the Arts

Maki K. Habib
2007 International Journal of Advanced Robotic Systems  
In the context of humanitarian demining it is essential to have a reliable and accurate sensor or an integration of heterogeneous/homogeneous sensors with efficient and reliable data fusion and processing  ...  A portable handheld mine detection approach to sensor movement is slow and hazardous for individual deminers.  ...  Its V-shaped chassis and sacrificial wheels minimize damage from anti-personnel mine or UXO detonation and provide some protection against anti-tank mines.  ... 
doi:10.5772/5699 fatcat:3mx4eobl75hm7nv4ejybpfy5va

Mobile robotics activities in DOE laboratories

Ron Lujan, Jerry Harbour, John Feddema, Sharon Bailey, Jacob Barhen, David Reister, Grant R. Gerhart, Charles M. Shoemaker, Douglas W. Gage
2005 Unmanned Ground Vehicle Technology VII  
The discussion of "perception" will include hyperspectral sensors, complex patterns discrimination, multisensor fusion and advances in LADAR technologies, including real-world perception.  ...  The activities will be discussed in the context of the science and technology construct used by the DOE Technology Roadmap for Robotics and Intelligent Machines (RIM) 1 published in 1998; namely, Perception  ...  CESAR is a leader in developing new algorithms for multisensor fusion. Algorithms have been developed for partially known sensor distributions.  ... 
doi:10.1117/12.604008 fatcat:l4ivaymdjvguvb3x25gsddbzti
« Previous Showing results 1 — 15 out of 56 results