
Autonomous Navigation for Multirotor UAVs (Quadcopter Drone)
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Multirotor aerial vehicles are commonly used today, with applications ranging from product delivery to defense systems. These devices are often a complex interlink of various components and must be controlled manually by an experienced pilot using a radio controlled transmitter; issuing flight commands to the copter. Furthermore, current drone systems do not commercially offer a platform for automatic obstacle avoidance. The concept proposed in this thesis is an Unmanned Aerial Vehicle system that is capable of travelling a set of way points without any manual guidance. This eliminates the pro...
Multirotor aerial vehicles are commonly used today, with applications ranging from product delivery to defense systems. These devices are often a complex interlink of various components and must be controlled manually by an experienced pilot using a radio controlled transmitter; issuing flight commands to the copter. Furthermore, current drone systems do not commercially offer a platform for automatic obstacle avoidance. The concept proposed in this thesis is an Unmanned Aerial Vehicle system that is capable of travelling a set of way points without any manual guidance. This eliminates the proficiency and the prior training required to control a copter. A ground control station is set up on a laptop or a smartphone in which the various way points for the desired location is set. The copter then travels on its own by obtaining the data from its various on-board sensors and intelligently maneuvering itself through the various paths. The proposed system is also a cost effective method when compared to its commercial counterparts available in the market. The quadcopter is also capable of tracking a single object using an on-board camera system.