De-MiningProjects in military, academia or industry

With the following overview a list of projects was created which deal with the topic of mine detection. These projects are partly carried out by the industry together with the military, supported by the EU / or states or implemented at universities. Accordingly, the list includes the projects, a short description, linking and an approximate date.

 

PFM-1 synthetic data YOLOv5 exp31 Kyle drone data

PFM-1 synthetic data YOLOv5 exp31 Kyle drone data

This list is so far a first throw and does not claim to be complete. It lists different types of activities regarding mine detection and research in general.

Date: Ogranization:
Titel:
Description: URL:
2021 Projekt Minen entschärfen

Demining improves security along Turkey’s eastern border

The European Union (EU) and the United Nations Development Programme (UNDP) today launched a €18.6-million project that will clear 83,000 landmines from along Turkey’s eastern border by January 2023. Working in partnership with the Turkish Mine Action Center (TURMAC), the EU-funded project will make 4.2 million square meters of land safe for local civilians and border management personnel. Demining improves security along Turkey’s eastern border
1997 Artikel über Programme der EU A HIGH-TECH land-mine detection research and development project worth up to 20 million ecu is set to get the go-ahead from the European Commission this month. Funds to go into research on detecting land-mines
2020

EU Projekt

ALDrone (Anti Landmine Drone) ALDRONE uses latest satellite positioning for precise photomosaic georeferencing, and advanced algorithms to generate relevant indices to improve landmine presence probability. ALDrone (Anti Landmine Drone)
2023 EU Projekt EU launches demining project in Azerbaijan – EU NEIGHBOURS east On 7 February, the European Union, the United Nations Development Programme (UNDP) and the Azerbaijani government launched a demining project to help save lives and enable internally displaced persons to return home. EU launches demining project in Azerbaijan – EU NEIGHBOURS east
2001 ESA & EU

HOPE for detecting landmines

It will soon be easier, safer and quicker to detect land mines, thanks to a Handheld Operational Demining System project, better known as HOPE. ESA has played an important role in this EU project, which could save thousands of lives each year. HOPE for detecting landmines
2021 EU & Naval Group Belgium

MIRICLE

Launch of MIRICLE, the European innovation project led by Naval Group Belgium to pave the way to the next generation of mine countermeasure solutions

MIRICLE

2012 – 2015 CORDIS New tools for mine detection | TIRAMISU Project An EU team is working on systems for detection and disposal of unexploded mines and other bombs. The promising tools include spatial information and satellite data systems, new kinds of robotic detectors, trained bees and personal protection suits. New tools for mine detection | TIRAMISU Project
2022

EU mine detection dogs for Ukraine

EU mine detection dogs for Ukraine Ukrainian authorities estimate that 30% of Ukraine’s territory is contaminated with mines and unexploded munitions. As part of EU action to aid Ukraine, the European Commission created a project to train and donate fifty explosive and mine detection dogs to Ukrainian authorities. EU mine detection dogs for Ukraine
2019

Rheinmetall

Mehr Route Clearance System für Bundeswehr Rheinmetall ist von der Bundeswehr mit der Ergänzungsbeschaffung von vier Route Clearance Systemen beauftragt worden. Das Auftragsvolumen beläuft sich auf einen niedrigen zweistelligen Millionenbetrag. Der im Dezember 2019 geschlossene Vertrag hat eine Laufzeit von rund vier Jahren. Mehr Route Clearance System für Bundeswehr
2016

EU Research Magazine

How to speed up landmine clearance Drones can detect landmines faster than people with metal detectors.

 

‘The mine action community is extremely conservative, they are a little scared of changing tools,’ said Dr Yann Yvinec, scientist at Belgium’s RMA and project coordinator of TIRAMISU.

How to speed up landmine clearance
2017

US Army

SREHD Shreds the Handheld Competition Searching for explosive hazards with handheld mine detectors can be both physically and mentally taxing. Explosive hazards can be buried underground, laid on the ground or placed flush with the ground’s surface. There are a variety of techniques to emplace them, including scattering the devices on the ground or delivering them by vehicles or helicopters. SREHD Shreds the Handheld Competition
2015
  • Conference: International Conference on Advances in Mechanical Engineering
  • At: Yildiz Technical University, Istanbul, Turkey

AUTONOMOUS MOBILE ROBOT FOR MINE DETECTION

Mine detection is the first step in clearing mines to save lives and help in development. The main objective of this paper is to design and develop a low cost, simple and accurate mobile manipulator for mine detection. AUTONOMOUS MOBILE ROBOT FOR MINE DETECTION
2017

Conference

Does Competition Bring Out the Best in Robotic Innovation?

Think working right next to a robot without safety caging is novel? Just wait until it starts second guessing your instructions. Does Competition Bring Out the Best in Robotic Innovation?
2011

researchgate.net

Paper

Landmine Detecting Robot Scanning area for landmines The purpose of Landmine detecting robot is to cover maximum possible area, presentation of landmines and the left over area on a visual map with accuracy in millimeters Landmine Detecting Robot Scanning area for landmines
2012

University of Coimbra in Portugal

Robot Takes on Landmine Detection While Humans Stay Very Very Far Away

In 2012, Clearpath Robotics decided to give away a customized Husky UGV to a worthy cause, and what could be more worthy than keeping us humans from getting blown up. The University of Coimbra in Portugal has taken its free Husky and turned it into an clever little autonomous mobile mine detector. Robot Takes on Landmine Detection While Humans Stay Very Very Far Away
2012

Portugal’s Coimbra University

Bomb-detecting Husky to remove killer landmines Portugal’s Coimbra University is one of the oldest universities in the world, but their ISR Embedded Systems Lab is doing cutting-edge research into methodologies for autonomous humanitarian demining.

 

YouTube: https://www.youtube.com/watch?v=xju4rgRL4j0

Bomb-detecting Husky to remove killer landminesv
2014

ICRA – Challenge

ICRA to Host Challenge for Landmine Detection Minesweeping is incredibly time-intensive and dangerous; it’s estimated that over 20 thousand people lose their lives in mine-related accidents each year. With statistics such as this, it’s no wonder robots haven’t been used in mine detecting scenarios sooner. To build awareness and advance this technology, IEEE Robotics and Automation Society (RAS) will be hosting the first ever Humanitarian Robotics and Automation Technology Challenge (HRATC) to be held at ICRA 2014 (May 31-June 1). ICRA to Host Challenge for Landmine Detection
2019

Worcester Polytechnic Institute (WPI)

Search and Destroy: WPI Students Build a Robotic System to Find and Safely Detonate Landmines

Student teams are developing an autonomous rover and payload-deploying drone to find and safely destroy hidden munitions that kill or maim as many as 20,000 people around the world each year. Search and Destroy: WPI Students Build a Robotic System to Find and Safely Detonate Landmines
2020

Binghamton University, State University at New York

Researchers use drones, machine learning to detect dangerous ’butterfly’ landmines

BINGHAMTON, N.Y. – Using advanced machine learning, drones could be used to detect dangerous “butterfly” landmines in remote regions of post-conflict countries, according to research from Binghamton University, State University at New York. Researchers use drones, machine learning to detect dangerous ’butterfly’ landmines
2020

researchgate.net

Paper

Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines

Recent advances in unmanned-aerial-vehicle-(UAV-) based remote sensing utilizing lightweight multispectral and thermal infrared sensors allow for rapid wide-area landmine contamination detection and mapping surveys. We present results of a study focused on developing and testing an automated technique of remote landmine detection and identification of scatterable antipersonnel landmines in wide-area surveys. Applying Deep Learning to Automate UAV-Based Detection of Scatterable Landmines
2018

Pontificia Universidad Javeriana in Bogotoa, Colombia

Drone + Ground Penetrating Radar = Mine Detector?

Most civilized nations ban the use of landmines because they kill indiscriminately, and for years after they are planted. However, they are still used in many places around the world, and people are still left trying to find better ways to find and remove them. Drone + Ground Penetrating Radar = Mine Detector?
2017

researchgate.net

Paper

UAV for Landmine Detection Using SDR-Based GPR Technology

UAV for Landmine Detection Using SDR-Based GPR Technology
2021

BBC report

How bees and drones team up to find landmines

Among the virtues of bees you may not be aware of is their knack for detecting bombs. How bees and drones team up to find landmines
2016

UNICEF

UNICEF – working to keep children safe from landmines

The danger of landmines and unexploded ordnance is exacerbated for children, who are intrigued by their sometimes colourful and curious designs.

UNICEF – working to keep children safe from landmines
2001

US Army

Land Mine Detection: DOD’s Research Program Needs a Comprehensive Evaluation Strategy

Land Mine Detection: DOD’s Research Program Needs a Comprehensive Evaluation Strategy

DUKE University

Landmine Detection | Applied Machine Learning Lab

Landmines and improvised explosive devices are a major source of casualties in both current and former conflict zones. These hidden killers remain in the ground for years after conflict has ceased, killing and maiming indiscriminately.

Landmine Detection | Applied Machine Learning Lab

The University of Mississippi

National Center for Physical Acoustics | Laser Acoustic Detection of Buried Landmines

The detection and neutralization of landmines is an important task because of military, humanitarian, and environmental impacts. Metal detectors, the most commonly used devices for landmine detection, suffer from inability to detect plastic mines and differentiate a real mine from metallic debris.

National Center for Physical Acoustics | Laser Acoustic Detection of Buried Landmines

TU Darmstadt

Land mine detection – Signal Processing Group

Surface laid mines are commonly encountered — troops often do not have time to adequately bury them and many mines are deployed from helicopters and airplanes. Unfortunately, in practice, these objects are seldom completely visible from above. Instead they are commonly partly occluded (covered). In some cases, mines are deliberately placed under bushes or in high grass. In other cases, surface laid mines may become partially occluded over time due to environmental changes, such as the movement of soil.

Land mine detection – Signal Processing Group
2020

Ulm University

An Experimental Study on Airborne Landmine Detection Using a Circular Synthetic Aperture Radar

Many countries in the world are contaminated with landmines. Several thousand casualties occur every year. Although there are certain types of mines that can be detected from a safe stand-off position with tools, humanitarian demining is still mostly done by hand.

An Experimental Study on Airborne Landmine Detection Using a Circular Synthetic Aperture Radar
2022 University of Peradeniya

Landmine Detector

Landmines are prominent weapons designed to destroy or disable enemy targets which detonate by the movement of its target, pressure, sound, magnetism and vibration. More than a hundred million land mines are scattered around the world which remain hazardous for years even after conflict termination posing a significant threat to civilians and the economy. More Effective and sophisticated tools to detect, locate and deactivate landmines are urgently needed to make lands safer for humans to use.

Landmine Detector
2019

Maastricht University

Towards a landmine-free world

 

Massoud and Mahmud Hassani grew up in Kabul, Afghanistan – literally in a minefield. Many years later, in the Netherlands, the brothers have developed Mine Kafon: a drone system for detecting landmines.

Towards a landmine-free world
2010

researchgate.net

Paper

A Comparative Study of Landmine Detection Techniques

Several countries suffer from the existence of millions of buried landmines in their territories. These landmines have indefinite life, and may still cause horrific personal injuries and economic dislocation for decades after a war has finished. Therefore, there is a growing demand by these countries for reliable landmine inspection systems

A Comparative Study of Landmine Detection Techniques
2022

To Clear Deadly Land Mines, Science Turns to Drones and Machine Learning – Scientific American

In a field in Oklahoma, researchers are using new technology to spot deadly munitions built to maim and kill

To Clear Deadly Land Mines, Science Turns to Drones and Machine Learning – Scientific American
2020

Center for Northeast Asian Studies

Landmine detection sensor – TU Research Profiles

ALIS is a hand-held dual sensor system, which consists of a metal detector and a ground-penetrating radar (GPR). The most unique feature of ALIS is its visualiza- tion function of the metal detector and GPR.

Landmine detection sensor – TU Research Profiles
2018

University of Georgia

Detection of landmine-like targets using data collected by unmanned aerial systems

Scatterable landmines are a recent warfare technology that can be dispersed aerially and quickly render land useless to local populations. This research aims to develop methods for civilian landmine detection and suspected area reduction using readily available unmanned aerial systems (UAS), simulation landmines and very high spatial resolution orthomosaics derived using Structure from Motion from multiple flight dates.

Detection of landmine-like targets using data collected by unmanned aerial systems
2021

Hebrew University

This Bacteria Can Find a Landmine

The main rate-limiting factor holding back global demining efforts is not the actual removal of buried landmines,” researchers at the Hebrew University of Jerusalem wrote in Microbial Biotechnology last October, “but rather pinpointing their exact locations.”

This Bacteria Can Find a Landmine
2015

University of Bath

New 3-D camera technology to uncover hidden landmines

I set up Find A Better Way to search for more effective technology to detect landmines and explosive remnants of war after witnessing first-hand the devastation these can cause to individuals and communities. Our partnership with the University of Bath will help us to make significant progress with our aim to deliver significant improvements in demining detection capability to ultimately negate the effects landmines and explosive remnants of war pose across the globe

New 3-D camera technology to uncover hidden landmines
2016

DLR

Faster detection of landmines using radar

The German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) has developed a radar-based method, ‘TIRAMI-SAR’, that will allow for the quick, safe and cost-effective detection of landmines.

Faster detection of landmines using radar
2021

Columbia University

Harnessing drones, geophysics and artificial intelligence to root out land mines

Armed with a newly minted undergraduate degree in geology, Jasper Baur is in the mining business. Not those mines where we extract metals or minerals; the kind that kill and maim thousands of people every year. Baur and colleagues are trying to show that drone-born geophysical sensors already used in fields such as exploration geology, volcanology and archaeology may be applied to more efficiently spot and eliminate these deadly hazards

Harnessing drones, geophysics and artificial intelligence to root out land mines
2017

University of Applied Sciences and Arts Northwestern Switzerland School of Architecture

Humanitarian Demining – UAV-BASED DETECTION OF LAND MINES

Mine Action aims to reduce the social, economic and environmental impacts
of mines and UXO (unexploded ordnance) so that people in the affected
regions can live safely again, resulting in an economic, social and health-
positive development.

Humanitarian Demining – UAV-BASED DETECTION OF LAND MINES
2018

Binghamton University

Department of Geological Sciences and Environmental Studies

Detection and Identification of Remnant PFM-1 ‘Butterfly Mines’ with a UAV-Based Thermal-Imaging Protocol

Detection and identification of MECs largely relies on the geophysical principles of magnetometry and electromagnetic-induction (EMI), which makes non-magnetic plastic MECs particularly difficult to detect and extremely dangerous to clear. In a recent study we demonstrated the potential of time-lapse thermal-imaging technology to detect unique thermal signatures associated with plastic MECs.

2020

DraganflyInc.

Draganfly Develops Drone Based Solution for Landmine Detection

Draganfly Develops Drone Based Solution for Landmine Detection
2020

Binghamton University

Is thermal mapping the future of landmine clearance?

“It’s a real challenge to detect plastic-bodied landmines,” explains Dr. Tim de Smet of Binghamton University. “These mines contain almost no metal, so standard detection methods don’t work.”

Is thermal mapping the future of landmine clearance?
2014

School of Engineering, Pontificia Universidad Javeriana

Air Drones for Explosive Landmines Detection

Explosive landmines have cost the lives of hundreds in several countries. This paper presents a field report of a low cost unmanned aerial vehicle -ARdrone 2.0- used as a complemented tool for landmine visual detection in rural scenarios.

Air Drones for Explosive Landmines Detection
2022

National University of Public Service, Budapest, Hungary

LANDMINE DETECTION WITH DRONES

The opposing forces often laid antitank or antipersonnel minefields during
wars and other armed conflicts. However, countries those ratified the Ottawa Treaty
had abandoned using antipersonnel landmines in the future, the mines laid earlier
are still can be found in huge numbers buried under the soil and they cause serious
injuries to several people. Safe detection of mines, other dangerous explosive
devices and the precise determination of their location sometimes require specific
equipment. The authors introduce certain aerial vehicles and some of their special
detection devices those can be used for locating landmines from the air.

LANDMINE DETECTION WITH DRONES
2016

Swiss Foundation for Mine Action (FSD)

Deploying Drones for Spatial Modeling of Displaced
Landmines in
Bosnia Herzegovina

Heavy floods and landslides in Bosnia Herzegovina shifted minefields and explosive
remnants of war (ERW) into inhabited areas. The Belgian Royal Military Academy (RMA)

team worked with the Bosnia and Herzegovina Mine Action Centre (BHMAC) to use

drone images that would help model the potential locations of some of the many dis

placed ERWs and mines. These models then were used to narrow down the search

radius for demining teams.

Deploying Drones for Spatial Modeling of Displaced
Landmines in
Bosnia Herzegovina
2020

 Study

PROOF: How Small Drones Can Find Buried
Landmines in the Desert using Airborne

IR Thermography

Hypotheses and speculation have circulated for at least three
decades regarding how IR thermography could be viable as a

technique for locating buried landmines in arid environments

How Small Drones Can Find Buried
Landmines in the Desert using Airborne

IR Thermography
2024

 NATO

 

The ‘Demining Robots’ project will change the approach to detecting landmines in post-war zones, avoiding direct human-to-mine contact until the threat removal stage, and ultimately introducing a safer demining procedure. The design approach is based on the new paradigm of Industry 4.0 that allows flexibility to implement a new cyber-physical system, reproducible everywhere and expandable with different sensors and actuators.

http://www.natospsdeminingrobots.com/
2023 Study

 

Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging

This paper presents a pioneering study in the application of real-time surface landmine detection using a combination of robotics and deep learning. We introduce a novel system integrated within a demining robot, capable of detecting landmines in real time with high recall. Utilizing YOLOv8 models, we leverage both optical imaging and artificial intelligence to identify two common types of surface landmines: PFM-1 (butterfly) and PMA-2 (starfish with tripwire). Our system runs at 2 FPS on a mobile device missing at most 1.6% of targets. It demonstrates significant advancements in operational speed and autonomy, surpassing conventional methods while being compatible with other approaches like UAV. In addition to the proposed system, we release two datasets with remarkable differences in landmine and background colors, built to train and test the model performances. https://www.mdpi.com/2677176
2022 Study 

Sea Mine Detection Framework Using YOLO, SSD and EfficientDet Deep Learning Models

 

In the context of new geopolitical tensions due to the current armed conflicts, safety in terms of navigation has been threatened due to the large number of sea mines placed, in particular, within the sea conflict areas. Additionally, since a large number of mines have recently been reported to have drifted into the territories of the Black Sea countries such as Romania, Bulgaria Georgia and Turkey, which have intense commercial and tourism activities in their coastal areas, the safety of those economic activities is threatened by possible accidents that may occur due to the above-mentioned situation. The use of deep learning in a military operation is widespread, especially for combating drones and other killer robots. Therefore, the present research addresses the detection of floating and underwater sea mines using images recorded from cameras (taken from drones, submarines, ships and boats). Due to the low number of sea mine images, the current research used both an augmentation technique and synthetic image generation (by overlapping images with different types of mines over water backgrounds), and two datasets were built (for floating mines and for underwater mines). Three deep learning models, respectively, YOLOv5, SSD and EfficientDet (YOLOv5 and SSD for floating mines and YOLOv5 and EfficientDet for underwater mines), were trained and compared. In the context of using three algorithm models, YOLO, SSD and EfficientDet, the new generated system revealed high accuracy in object recognition, namely the detection of floating and anchored mines. Moreover, tests carried out on portable computing equipment, such as Raspberry Pi, illustrated the possibility of including such an application for real-time scenarios, with the time of 2 s per frame being improved if devices use high-performance cameras. https://www.mdpi.com/1989914

PFM-1 deticated activities and projects

Date: Ogranization:
Titel:
Description: URL:
2022 De-Mine research community

DETECTING PFM-1 LANDMINES

Through synergies in multispectral imaging, thermal imaging, photogrammetry, drone platforms and machine learning, we have devised an innovative way to detect surface-lain PFM-1 anti-personnel landmines. https://www.de-mine.com/project-pfm-1-landmines
2023 Binghamton University Geological Sciences and Environmental Studies Faculty Scholarship

Submissions from 2022

Geological Sciences and Environmental Studies Faculty Scholarship

GitHub projects – Image Labeling

In the table below I collected different projects dealing with the topic how to lable pictures efficient / fast. They all have together that they use the Segment-Anything solution published by META.

Date: Titel:
Description: URL:
2023

segmenteverygrain

‘segmenteverygrain’ is a Python package that aims to detect grains (or grain-like objects) in images. The goal is to develop an ML model that does a reasonably good job at detecting most of the grains in a photo, so that it will be useful for determining grain size and grain shape, a common task in geomorphology and sedimentary geology. https://github.com/zsylvester/segmenteverygrain
2023

Edit Anything by Segment-Anything

This is an ongoing project aims to Edit and Generate Anything in an image, powered by Segment Anything, ControlNet, BLIP2, Stable Diffusion, etc. https://github.com/sail-sg/EditAnything
2023

IEA: Image Editing Anything

Using stable diffusion and segmentation anything models for image editing.

Generally, given a textual prompt or cliked region, SAM generated the masked region for source image. Then, we use CLIP model to select the region, which can be finally used to generate the target edited image with stable diffusion.

https://github.com/feizc/IEA
2023

Segment Anything for Stable Diffusion WebUI

This extension aim for connecting AUTOMATIC1111 Stable Diffusion WebUI and Mikubill ControlNet Extension with segment anything and GroundingDINO to enhance Stable Diffusion/ControlNet inpainting, enhance ControlNet semantic segmentation, automate image matting and create LoRA/LyCORIS training set. https://github.com/continue-revolution/sd-webui-segment-anything
2023 segment-anything-video This repo is a packaged version of the segment-anything model. https://github.com/kadirnar/segment-anything-video
2023

Segment Anything Labelling Tool (SALT)

Uses the Segment-Anything Model By Meta AI and adds a barebones interface to label images and saves the masks in the COCO format. https://github.com/anuragxel/salt
2023

OpenMMLab PlayGround: Semi-Automated Annotation with Label-Studio and SAM

This article introduces a semi-automatic annotation solution combining Label-Studio and SAM (Segment Anything) with two methods: Point2Label and Bbox2Label. With Point2Label, users only need to click a point within the object’s area to obtain the object’s mask and bounding box annotations. With Bbox2Label, users simply annotate the object’s bounding box to generate the object’s mask. Community users can learn from these methods to improve the efficiency of data annotation. https://github.com/open-mmlab/playground/tree/main/label_anything
2023

AnyLabeling

Effortless data labeling with AI support from YOLO and Segment Anything!

AnyLabeling = LabelImg + Labelme + Improved UI + Auto-labeling

https://github.com/vietanhdev/anylabeling

 

Organizationen

This is just a short overview of organizations working in general in the field of mine detections / humanitarian demining.

Ogranization:
Description: URL:
Geneva International Centre for Humanitarian Demining (GICHD) The Geneva International Centre for Humanitarian Demining (GICHD) works towards reducing risk to commu­nities caused by explosive ordnance, with a focus on landmines, cluster munitions and ammunition stockpiles. https://www.gichd.org
UN Landmines and Explosive Remnants of War https://research.un.org/en/mines/websites

Demining Research Community

We are a nonprofit organization researching and developing innovative uses of remote sensing and machine learning to improve the efficiency and safety of landmine and unexploded ordnance (UXO) detection. https://www.de-mine.com/
HALO Trust We do this by recruiting and training local men and women to clear landmines in their own communities. https://www.halotrust.org/latest/halo-updates/news/revolutionising-demining-with-technology/
MAG (Mines Advisory Group) An international NGO that focuses on landmine clearance and UXO removal, as well as providing risk education and mine risk education programs. https://www.maginternational.org/
Norwegian People’s Aid (NPA) Engaged in demining and UXO disposal, NPA also provides humanitarian assistance and supports victims of explosive remnants of war (ERW). https://www.npaid.org/
DanChurchAid (DCA) This organization works in mine action, including survey and clearance of mines and cluster munitions. DCA also focuses on promoting community safety and supporting affected communities. https://www.danchurchaid.org/
Swiss Foundation for Mine Action (FSD) Involved in mine action programs worldwide, including landmine and ERW clearance, capacity development, and mine risk education. https://fsd.ch/en/
Fenix Foundation A Chilean-based demining organization that specializes in UXO clearance and landmine removal, particularly in South America. https://www.facebook.com/
Mines Action Canada (MAC) Mines Action Canada (MAC): A Canadian NGO working on mine action, including advocacy, research, and raising awareness about landmines and UXO. https://www.minesactioncanada.org/
RONCO Consulting Corporation An organization providing a range of services including landmine and UXO clearance, explosive ordnance disposal (EOD), and security consulting. https://www.roncoconsulting.com/
The Demining Agency for Afghanistan (DAFA) Focused on demining operations in Afghanistan, DAFA works to clear landmines, support mine victims, and provide mine risk education. https://dafa.af/
The Cambodian Mine Action Centre (CMAC) Established in Cambodia, CMAC undertakes demining operations, UXO clearance, and mine risk education in the country. https://cmac.gov.kh/
The DEMINE Foundation Introducing the DEMINE Foundation – an innovative initiative spearheaded by a team of proficient developers, drone operators, and EOD technicians. Our mission is to create open-source mine detection and clearing technologies that will support EOD teams across the globe. https://www.deminefoundation.com/
Center for International Stabilization & Recovery
For more than two decades, CISR’s staff and network of experts have served practitioners and those affected by conflict through countless personal exchanges, publications, conferences and trainings—including landmine/UXO management and peer support programs. This website is central to all of that growth. Here, you can access our internationally regarded publications, management training workshops, disability rights resources, and peer-support programming. We work with faculty, staff, and students at James Madison University to bring best practices and research to the field. https://www.jmu.edu/cisr/index.shtml
Mariya Aid Mriya Aid is a network of experts dedicated to helping Ukraine defend itself against Russia’s unprovoked war of aggression. Mriya Aid secures and sends medical supplies, non-lethal military equipment, and humanitarian aid to the frontlines where it’s desperately needed now. https://www.mriyaaid.ca/
Bomb Techs Without Borders
Bomb Techs Without Borders supports national agency, NGO, and commercial partners to build powerful, sustainable capacity for UXO clearance in nations around the globe.

Sons of Liberty International

Sons of Liberty International (SOLI) was founded by international security analyst Matthew VanDyke in recognition of the failure of the international community and governments to adequately protect the defenseless and support those struggling for freedom around the world. There needed to be an organization capable of on-the-ground action to help those whom the international system had failed. SOLI was created to enable those abandoned by the international community to take action in defense of themselves and their people, and to combat those forces that seek to harm and oppress them https://www.sonsoflibertyinternational.com/
https://www.ceia-usa.com/

Scientific publications in general about artificial intelligence

Here we started a list of scientific topics that can contribute to the topic of synthetic data. The selection is made with the aim to create synthetic data for mine detection.

 

Date: Topic:
Titel:
Description: URL:
2017 synthetische Daten Improving the Realism of Synthetic Images – Apple Machine Learning Researc Most successful examples of neural nets today are trained with supervision. However, to achieve high accuracy, the training sets need to be large, diverse, and accurately annotated, which is costly. An alternative to labelling huge amounts of data is to use synthetic images from a simulator. Improving the Realism of Synthetic Images – Apple Machine Learning Researc
2022 synthetische Daten

GANs for Synthetic Data Generation

A practical guide to generating synthetic data using open-sourced GAN implementations GANs for Synthetic Data Generation
2022 synthetische Daten

A Synthetic Image Dataset Generated with Stable Diffusion

Current models for the generation of synthetic images from text input are not only able to generate very realistic-looking photos but also to handle a large number of different objects. A Synthetic Image Dataset Generated with Stable Diffusion

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