An automated heterogeneous robotic system for radiation surveys: Design and field testing

无人地面车辆 计算机科学 软件部署 过程(计算) 地形 自动化 搜救 可用性 实时计算 四轴飞行器 数字高程模型 人工智能 机器人 计算机视觉 遥感 工程类 人机交互 航空航天工程 机械工程 生态学 地质学 生物 操作系统
作者
Petr Gábrlík,Tomáš Lázna,Tomáš Jílek,Petr Sládek,Luděk Žalud
出处
期刊:Journal of Field Robotics [Wiley]
卷期号:38 (5): 657-683 被引量:7
标识
DOI:10.1002/rob.22010
摘要

Abstract During missions involving radiation exposure, unmanned robotic platforms may embody a valuable tool, especially thanks to their capability of replacing human operators in certain tasks to eliminate the health risks associated with such an environment. Moreover, rapid development of the technology allows us to increase the automation rate, making the human operator generally less important within the entire process. This article presents a multirobotic system designed for highly automated radiation mapping and source localization. Our approach includes a three‐phase procedure comprising sequential deployment of two diverse platforms, namely, an unmanned aircraft system (UAS) and an unmanned ground vehicle (UGV), to perform aerial photogrammetry, aerial radiation mapping, and terrestrial radiation mapping. The central idea is to produce a sparse dose rate map of the entire study site via the UAS and, subsequently, to perform detailed UGV‐based mapping in limited radiation‐contaminated regions. To accomplish these tasks, we designed numerous methods and data processing algorithms to facilitate, for example, digital elevation model‐based terrain following for the UAS, automatic selection of the regions of interest, obstacle map‐based UGV trajectory planning, and source localization. The overall usability of the multirobotic system was demonstrated by means of a 1‐day, authentic experiment, namely, a fictitious car accident including the loss of several radiation sources. The ability of the system to localize radiation hotspots and individual sources has been verified.

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