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Faster, More Nimble Drones on the Horizon


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Eventually, the results could help increase the speeds of complex systems such as drones and other autonomous robots.

Massachusetts Institute of Technology engineers have come up with an algorithm to tune a Dynamic Vision Sensor camera, simplifying a scene to its most essential visual elements and potentially enabling the development of faster drones.

Credit: Jose-Luis Olivares/MIT

Researchers at the Massachusetts Institute of Technology have developed an algorithm to tune a Dynamic Vision Sensor (DVS) camera to detect only specific changes in brightness that matter for a particular system.

The researchers say this can be applied to any linear system directing a robot to move from point A to point B as a response to high-speed visual data. The results could help boost speeds for more complex systems such as drones and other autonomous robots.

The system includes a universal control that can translate DVS data for any linear robotic system by identifying the ideal value for an event-threshold value parameter (H), signifying the minimum change in brightness the system can detect. A system with a low H value would be programmed to perceive and interpret changes in luminosity ranging from very small to relatively large, while a high H value would only "see" and react to large variations in brightness.

From MIT News
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Abstracts Copyright © 2017 Information Inc., Bethesda, Maryland, USA


 

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