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Fire hack mod#
Fire hack registration#

Considering the users’ priorities and real-world complexities of operating drones around wildfires, where mistakes could cost lives.

Not just responding to the fire but predicting it.

Collaborative behaviour between individual drones.

Developing robust and resilient autonomy for these swarms.

The challenge will grow in complexity over the weekend and we are looking for participants who are interested in: We’re particularly interested in the algorithms and artificial intelligence necessary to control the behaviour of the swarm.

Fire hack mod#

Supported by experts from industry, academia, MOD and the Fire & Rescue Service the participants will tackle a series of increasingly challenging scenarios to facilitate the development of their techniques within a simulated synthetic environment developed specially for this event by AFRL. Simultaneous competitions in the UK and US will explore new and more efficient ways to plan and execute complex drone searches and missions.

Fire hack registration#

Registration closes at 23:30 on the 27th of March – secure your place and get your free ticket at Eventbrite nowĭstl (Defence Science & Technology Laboratory), in partnership with the AFRL (US Air Force Research Laboratory), are hosting the 'Swarm and Search AI 2019 Fire Hack'. Small unmanned air systems or ‘drones’ - in the right hands - could offer a way of reducing the burden on the emergency services by mapping and tracking a wildfire in real time, autonomously, enabling other efforts to be focused rapidly where they are needed to save lives. The speed and ferocity of the recent devastating wildfires in California and in the UK demonstrate the need to develop new ways of using science and technology to assist the emergency services.

During the hackathon all files will be shared via dropbox.