Real-time Multi-Sensor Positioning for First Responders

Gustav Tolt Foi, Sweden, J. Rydell, E. Bilock, Jacob Eek, Peter Andersson, Jonas Nygårds
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Abstract

This paper describes a concept for real-time positioning of first responders that includes a number of complementary sensors worn by the first responder, to increase accuracy and robustness in indoor and complex environments. By using sensors of different types, each with their own strengths and limitations, and fusing their respective outputs, the goal is to increase the usability of positioning information in time-critical and risky operations. This facilitates synchronization of activities and increases safety in the operation. The sensors included in the proposed real-time positioning module are shoe-mounted inertial measurement units, ultra-wideband radio, thermal and visual cameras, and GNSS. The fusion framework is based on factor graphs. This work-in-progress paper describes the individual sensor components and shows preliminary findings concerning the possibilities to improve position estimation through sensor fusion.
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第一响应者实时多传感器定位
本文描述了第一响应者实时定位的概念,其中包括第一响应者佩戴的许多互补传感器,以提高室内和复杂环境中的准确性和鲁棒性。通过使用不同类型的传感器,每种传感器都有自己的优势和局限性,并融合各自的输出,目标是增加定位信息在时间关键和高风险操作中的可用性。这有助于活动的同步,并提高了操作的安全性。拟议的实时定位模块中包含的传感器包括鞋装惯性测量单元、超宽带无线电、热成像和视觉摄像机以及GNSS。融合框架是基于因子图的。这篇正在进行的论文描述了单个传感器组件,并展示了通过传感器融合改进位置估计的可能性的初步发现。
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