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Scene understanding in emergency response scenarios

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If you have a question about this talk, please contact Ryan Gibb.

Advances in sensing, robotics and machine learning have recently led to scene understanding algorithms that have transformed smart city applications, like transport, healthcare and energy. However this technology has found slower uptake in the challenging world of blue light emergency response. In this talk I will present some of the key challenges faced by intelligent sensor systems in emergency situations including dynamic changes of the environment, lack of preinstalled network or sensor infrastructure, and operation in previously unseen and unpredictable situations. I will then present recent multi-modal sensing approaches to addressing these challenges.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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