The Drone Racing League‘s 2018 season is underway, and to have a good time, the league has teamed up with Lockheed Martin to set a problem: construct an AI that is not solely able to racing a tiny quadcopter alongside the world’s greatest human pilots, however can beat them too.
The AlphaPilot Innovation Problem invitations college students, business specialists and drone fans to design an AI framework powered by Nvidia’s Jetson platform. The AI have to be able to flying an ordinary racing drone via a number of actual drone racing programs with no pre-programming or human intervention. The profitable groups will obtain over $2 million in prizes.
The problem is not only for enjoyable – AI-controlled drones able to navigating advanced environments at velocity would have dozens of actual world makes use of.
“At Lockheed Martin, we’re working to pioneer state-of-the-art, AI-enabled applied sciences that may assist remedy a few of the world’s most advanced challenges – from preventing wildfires and saving lives throughout pure disasters to exploring the farthest reaches of deep area,” mentioned Keoki Jackson, chief know-how officer at Lockheed Martin.
“Now, we’re inviting the following technology of AI innovators to hitch us with our AlphaPilot Innovation Problem. Opponents can have a possibility to outline the way forward for autonomy and AI and assist our world leverage these promising applied sciences to construct a brighter future.”
Entries open in November. For extra data and to discover ways to participate, take a look at Lockheed Martin’s competition page.