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.
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Mr. T. Srinivasan is an Assistant Professor at Agni College of Technology with 10+ years of experience in Mechanical Engineering, focusing on Thermal Engineering. He holds a Bachelor's from Annamalai University and a Master's in Thermal Engineering from Anna University.
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Taschenbuch. Zustand: Neu. Autonomous Navigation for Multirotor UAVs (Quadcopter Drone) | Srinivasan T. (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208442323 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Artikel-Nr. 133336031
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