Real-Time Perception Enhancement in Obscured Environments for Underground Mine Search and Rescue Teams

D. C. Demirkan, Ava Segal, Abhidipta Mallik, Sebnem Duzgun, Andrew J Petruska
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Abstract

First responders in underground mines face a myriad of challenges when searching for personnel in a disaster scenario. Possibly, the most acute challenge is the complete lack of visibility owing to a combination of dust, smoke, and pitch-black conditions. Moreover, the complex environment compounds the difficulty of navigating and searching the area as well as identifying hazardous conditions until in close proximity. Enhanced perception and localization technologies that enable rapid and safe disaster response could mitigate the mine rescue team’s risk and reduce response times. We developed a proof of concept perception enhancement tool for mine rescue personnel in pitch-black conditions by leveraging LiDAR, thermal camera, and data fusion to reconstruct a 3D representation of the space in real-time. This enhancement is visualized on HoloLens, allowing the responders real-time situational awareness of personnel, walls, obstacles, or fires in otherwise opaque environments. The technology is a first step towards faster, safer, and more effective disaster response for mine rescue operations, including detection of unexpected hazards before they become imminent threats.
增强地下矿井搜救队在遮蔽环境中的实时感知能力
矿井下的急救人员在灾难场景中搜寻人员时面临着无数挑战。最严峻的挑战可能是由于灰尘、烟雾和漆黑一片的环境导致完全看不见。此外,复杂的环境也增加了导航和搜索区域以及在近距离内识别危险状况的难度。增强型感知和定位技术可实现快速、安全的灾难响应,从而降低矿山救援队的风险并缩短响应时间。我们开发了一种概念验证感知增强工具,利用激光雷达、热像仪和数据融合技术,实时重建空间的三维表示,从而在漆黑条件下增强矿井救援人员的感知能力。这种增强功能可在 HoloLens 上实现可视化,让救援人员能够在不透明的环境中实时感知人员、墙壁、障碍物或火情。该技术是矿井救援行动向更快、更安全、更有效的灾难响应迈出的第一步,包括在突发危险成为迫在眉睫的威胁之前对其进行检测。
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