Human and Object Detection in Smoke-Filled Space Using Millimeter-Wave Radar Based Measurement
Human and Object Detection in Smoke-Filled Space Using Millimeter-Wave Radar Based Measurement
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DOI：
10.20965/jrm.2006.p0760
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发表时间：
2006-12-01
影响因子：
1.1
通讯作者：
Sakai, Masaki
中科院分区：
文献类型：
--
作者：
Aoki, Yoshimitsu;Sakai, Masaki
火灾期间救援行动中最大的问题之一是浓烟遮挡了消防员的视线。假设消防员最重要的任务是了解烟雾弥漫的空间内的情况。我们开发了一种方法，首先使用毫米波雷达和陀螺传感器相结合的方式扫描太空。为了检测人和物体，我们使用3D图像处理从信号反射数据集构建3D地图。我们详细介绍了我们的建议，并报告了在实际烟雾区的测量实验结果。
One of the greatest problems in rescue operations during fire disasters is the blocking of firefighters' view by dense smoke. Assuming that a firefighter's most important task is to understand the situation within a smoke-filled space. We developed a way to do so, starting by scanning space using millimeter-wave radar combined with a gyrosensor. To detect persons and objects, we constructed a 3D map from signal reflection datasets using 3D image processing. We detail our proposal and report results of measurement experiment in actual smoke-filled areas.