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Faster, More Nimble Drones on the Horizon


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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