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FEASIBILITY STUDY OF INEXPENSIVE THERMAL SENSORS AND SMALL UAS DEPLOYMENT FOR LIVING HUMAN DETECTION IN RESCUE MISSIONS APPLICATION SCENARIOS

机译:廉价热传感器和小UA部署在救援任务申请情景中廉价热传感器和小UA部署的可行性研究

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Significant efforts are invested by rescue agencies worldwide to save human lives during natural and man-made emergency situations including those that happen in wilderness locations. These emergency situations include but not limited to: accidents with alpinists, mountainous skiers, people hiking and lost in remote areas. Sometimes in a rescue operation hundreds of first responders are involved to save a single human life. There are two critical issues where geospatial imaging can be a very useful asset in rescue operations support: 1) human detection and 2) confirming a fact that detected a human being is alive. International group of researchers from the Unites States and Poland collaborated on a pilot research project devoted to identify a feasibility of use for the human detection and alive-human state confirmation small unmanned aerial vehicles (SUAVs) and inexpensive forward looking infrared (FLIR) sensors. Equipment price for both research teams was below $8,000 including 3DR quadrotor UAV and Lepton longwave infrared (LWIR) imager which costs around $250 (for the US team); DJI Inspire 1 UAS with commercial Tamarisc-320 thermal camera (for the Polish team). Specifically both collaborating groups performed independent experiments in the USA and Poland and shared imaging data of on the ground and airborne electro-optical and FLIR sensor imaging collected. In these experiments dead bodies were emulated by use of medical training dummies. Real humans were placed nearby as live human subjects. Electro-optical imagery was used for the research in optimal human detection algorithms. Furthermore, given the fact that a dead human body after several hours has a temperature of the surrounding environment our experiments were challenged by the SUAS data optimization, i.e., distance from SUAV to object so that the FLIR sensor is still capable to distinguish temperature differences between a dummy and a real human. Our experiments indicated feasibility of use SUAVs and small thermal sensors for the human detection scenarios described above. Differences in temperatures were collected by deployed imaging acquisition platform are interpretable on FLIR images visually. Moreover, we applied ENVI image processing functions for calibration and numerical estimations of such a temperature differences. There are more potential system functionalities such as voice messages from rescue teams and even distant medication delivery for the victims of described emergencies. This paper describes experiments, processing results, and future research in more details.
机译:救助机构在全球范围内拯救人类生活在自然和人造的紧急情况下拯救人类生活的重大努力,包括荒野地点的人。这些紧急情况包括但不限于:与阿尔辛斯,山地滑雪者,人们徒步旅行和偏远地区迷失的事故发生。有时在救援行动中,数百名第一响应者参与拯救一个人类生活。有两个关键问题,地理空间成像可以是救援行动中的非常有用的资产支持:1)人类检测和2)确认检测到人类的事实是活着的事实。国际集团的研究人员来自董事会和波兰致力于确定用于人类检测和活着 - 人类国家确认小无人驾驶飞行器(SUAVS)和廉价前瞻性红外线(FLIR)传感器的使用可行性的试点研究项目。研究团队的设备价格低于8,000美元,其中包括3DR Quadrotor UAV和Lepton Longwave红外(Lwir)成像仪,费用约为250美元(美国团队); DJI激励1个UAS与商业Tamarisc-320热相机(用于波兰队)。特别是合作组在美国和波兰和波兰的独立实验中进行了独立的实验,并收集了地面上的地面和空气传播电磁和FLIR传感器成像的共享成像数据。在这些实验中,通过使用医学训练假人模拟尸体。真正的人类附近被当作人类受试者。电光图像用于最佳人体检测算法的研究。此外,鉴于死亡人体在几个小时后的周围环境温度的情况下,我们的实验受到SUAS数据优化的挑战,即从Suav到物体的距离,使FLIR传感器仍然能够区分温度差异一个假人和真正的人。我们的实验表明,用于上述人类检测场景的使用Suavs和小热传感器的可行性。通过部署的成像采集平台收集温度的差异是在视觉上的FLIR图像上的解释。此外,我们应用了这种温差的校准和数值估计的Envi图像处理功能。有更多的潜在系统功能,例如来自救援队伍的语音信息,甚至是涉及所描述的受害者的远程药物递送。本文更详细地描述了实验,加工结果和未来研究。

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