I-Corps: Delivering Integrated Technology for Automated Wide-Area Humanitarian Mine Action Surveys

I-Corps：为自动化广域人道主义排雷行动调查提供集成技术

• 批准号: 2313759
• 负责人: Alex Nikulin
• 金额: $ 5万
• 依托单位: SUNY at Binghamton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-03-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2313759&HistoricalAwards=false
• 关键词: Corps; Delivering; Integrated; Technology; Automated

The broader impact/commercial potential of this I-Corps project is the development of technologies that effectively detect and clear landmines over wide surface areas. Humanitarian demining is the process where agencies (governmental or otherwise) survey a potentially hazardous area to detect, identify, and subsequently clear any explosive hazards (landmines or unexploded ordinance) in a post-conflict region. The goal of humanitarian demining is to release previously explosive-contaminated land back to impacted communities to allow the land to be used and developed without fear of injury and death caused by landmines and unexploded ordnance. The enormous variety of explosives, environments in which they lie, and conditions in which they may be found, create a multi-faceted problem that requires innovative technological solutions. This project is a demonstration of the powerful and wide-reaching capabilities of drones and machine learning in humanitarian mine action applications. The implementation of this technology will dramatically increase the rate and safety of demining, increasing the safety of demining operators, and allowing communities to reclaim previously inaccessible land for future development.This I-Corps project is based on the development of an integrated artificial intelligence-assisted unmanned aerial vehicle drone survey platform that a demining agency could quickly and effectively use to perform initial wide-area surveys. This technology will save money and time on subsequent demining activities in areas of critical contamination. The methods can be expanded to detect not only direct evidence of landmines and unexploded ordinances, but also indirect evidence such as explosion craters, minefield warning signs, or dead livestock potentially killed by explosives. Combining state-of-the-art deep learning technology, commercially available drones, and miniaturized optical sensors, this team created new solutions. This technology involves drone survey methods combined with innovative deep learning algorithms. The first step consists of integrating commercial visual light, thermal and multispectral drones to survey areas that are suspected to be contaminated with explosives. After the survey is complete, the deep learning method is used to generate the predicted coordinate locations of the explosives. In addition, a high-quality map of the suspected hazardous region is produced with each predicted explosive marked and labeled with its predicted class. The entire process takes place without using the internet, is user friendly, and can detect and classify most of the aerially-visible landmines and unexploded ordinances at a rate of 800 square meters per hour.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是开发技术，这些技术可以有效地检测并清除广泛的地表区域。人道主义魔术是机构（政府或其他方式）调查潜在的危险区域，以检测，识别和随后清除冲突后地区的任何爆炸性危害（地雷或未爆炸法令）。人道主义魔术的目标是将先前的爆炸性污染土地释放回受影响的社区，以使土地被使用和开发，而不必担心地雷和未爆炸的军械造成的伤害和死亡。各种各样的爆炸物，它们所在的环境以及它们可能被发现的条件，创造了一个多方面的问题，需要创新的技术解决方案。该项目展示了人道主义矿山行动应用中无人机和机器学习的强大而广泛的能力。该技术的实施将大大提高降解的速度和安全性，提高降低操作员的安全性，并允许社区回收以前无法接近的土地以供未来的开发。该I-Corps项目基于开发一项综合人工智能辅助无人驾驶的空中汽车无线电平台，该平台可以快速地和有效地使用初步的广告，以备不时地使用Demining Agence，以备不时之需。 这项技术将节省金钱和时间在危害污染领域的后续降低活动上。可以扩展这些方法，不仅可以直接表明地雷和未爆炸条例的直接证据，还可以检测到爆炸坑，雷场警告标志或死牲畜等间接证据。该团队结合了最先进的深度学习技术，市售无人机和微型光学传感器，创建了新的解决方案。该技术涉及无人机调查方法与创新的深度学习算法相结合。第一步包括将商业视觉光，热和多光谱无人机整合到被怀疑被炸药污染的区域。调查完成后，使用深度学习方法来生成爆炸物的预测坐标位置。此外，产生了可疑危险区域的高质量图，每个预测的爆炸物标记并标有其预测类别。整个过程不使用互联网，是用户友好的，可以以每小时800平方米的速度来检测和分类大多数空中可见的地雷和未爆炸的法令。这项奖项反映了NSF的法定任务，并被认为是通过基金会的智力功能和广泛影响的评估来评估CRETERIA的评估。