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Communications Technology Laboratory

Public Safety Communications Research Division

Real-Time First Responder Tracking and Mapping with Thermal, Intertial, and Radar

Real-Time First Responder Tracking and Mapping with Thermal, Inertial, and Radar Sensing_On-Demand Session — Accurate and robust tracking and mapping of first responders is key to improved situational awareness, efficiency, and enhanced safety. Conventional positioning techniques e.g. based on GPS, do not work in complex indoor environments. Through the NIST-funded IPSER project, the University of Oxford and its first responder partners have been working towards tackling this problem, using a combination of novel sensor modalities and algorithmic innovations. In particular, we present our multi-modal platform which combines robust sensing modalities (inertial, thermal, and radar) with state-of-the-art deep learning techniques to track and map first responders. A major issue with deep-learning approaches is that they are computationally expensive and thus are not amenable to real-time operation on lower-end mobile devices. We present work in this area to move towards achieving real-time tracking and mapping, presenting results from lab and simulated fire trials.

Speakers

Dr. Pedro Porto Buarqu de Gusamo, Oxford
Dr. John Wahlstrom, Oxford
Prof. Niki Trigoni, Oxford
Prof. Andrew Markham, Oxford

Related Content

Technology Demonstration: Real-Time Tracking Demo with Thermal, Inertial, and Radar Sensors

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Created May 21, 2020, Updated October 21, 2020