Using AI To Help Drones With Self-Awareness

As drones become more widespread, the ability to track and monitor them becomes more important.  I’ve written previously about various projects that aim to provide such ‘air traffic control’, such as the automated approach proposed by the Stanford Intelligent Systems Laboratory last year.  The team believe that an automated approach to air traffic control is vital because the sheer number of drones in the air make replicating the human based approach is simply not scalable.

Of course, one of the main challenges of such scalability is the ability to keep an eye on such large numbers of craft.  A team from the Ecole Polytechnique Federale de Lausanne (EPFL) have recently demonstrated how a straightforward camera can be used to detect and track drones.

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