They can be better coordinated by mimicking a simple flocking algorithm. Sense and avoid technology has a long way to go but many groups are working to solve this problem.
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Machine learning for drones.
Drone and machine learning. Tue 06122018 1805. For the military video surveillance delivered by drones is a blessing and a bit of a curse. In their paper drones and networks. Our second post on drones and networks takes an in depth look at how machine learning can be used to separate drones from ground devices. As described in our white paper drones and networks. The pentagon and intelligence community realize for video and image data analysis they need ai. Every mission can generate thousands of images or hours of video that need analysis. Data analytics will be a huge market for. Ensuring safe and secure operations researchers dr. They are just not smart enough yet. Such identification is needed to optimize service from an interference perspective for both types of users. The advantages of having eyes in. Think about some of the major problems with drones. In a big way. Small drones need machine learning to make a difference.
An ericsson white paper reports an interesting study on drones and networks with in depth look at the use of machine learning to separate drones from ground devices. Drones are generating more data than we know what to do with. In the end it is safe to say that this machine learning approach can solve the problem of drones colliding with each other and moving incoherently in a swarm of quadcopters. With machine learning we can teach algorithms to detect something we care about eg leaf soil and pumpkin classify it and localize it in space. Xingqin lin henrik ryden and sakib bin redhwan describe how mobile networks are well suited.
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