During the hackathon all files will be shared via dropbox.
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. 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.
Registration closes at 23:30 on the 27th of March – secure your place and get your free ticket at Eventbrite now
Dstl (Defence Science & Technology Laboratory), in partnership with the AFRL (US Air Force Research Laboratory), are hosting the 'Swarm and Search AI 2019 Fire Hack'. Simultaneous competitions in the UK and US will explore new and more efficient ways to plan and execute complex drone searches and missions.
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.
We’re particularly interested in the algorithms and artificial intelligence necessary to control the behaviour of the swarm. The challenge will grow in complexity over the weekend and we are looking for participants who are interested in:
There won’t be any live flying of drones as part of the main event. Instead, we will be making use of a bespoke version of a drone simulation environment from AFRL, which is being made available especially for this event to enable the development of your ideas, algorithms and behaviours against a range of challenges.
Benefits
Through this hackathon we can offer a range of exclusive benefits as a result of our joint UK/US collaboration, including:
Incentives & Prizes
Timeline
Banner image is from PIXNIO
March 29, 2019 - March 31, 2019
E Park Terrace, Southampton SO14 0YN, UK
£6,700