Two main algorithms are presented to use an UAV for surveillance purposes. A very fast algorithm for the scan of an unknown area has been implemented and tested: it permits to scan a domain for the definition of layout, boundaries, obstacles … Once that the area has been acquired, a second algorithm is used to monitor the regions of interest in an efficient way. A neural network has been built in order to choose the shortest path to reach a determined point, giving the drone the possibility to avoid unexpected obstacles. Finally these two algorithms has been tested to verify their accuracy and speed.

Design of UAV for surveillance purposes

CHELI, FEDERICO;RIPAMONTI, FRANCESCO;
2015-01-01

Abstract

Two main algorithms are presented to use an UAV for surveillance purposes. A very fast algorithm for the scan of an unknown area has been implemented and tested: it permits to scan a domain for the definition of layout, boundaries, obstacles … Once that the area has been acquired, a second algorithm is used to monitor the regions of interest in an efficient way. A neural network has been built in order to choose the shortest path to reach a determined point, giving the drone the possibility to avoid unexpected obstacles. Finally these two algorithms has been tested to verify their accuracy and speed.
2015
Proceedings of SEM Annual Conference and Exposition on Experimental and Applied Mechanics
9783319069883
Neural networks; Obstacle avoidance; Path following algorithm; Quadcopter
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/990441
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