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Autonomous Flying of Uav with Machine Learning and Mavlink Communication

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dc.contributor.author Muhit, Muntasir
dc.date.accessioned 2023-02-15T08:54:12Z
dc.date.available 2023-02-15T08:54:12Z
dc.date.issued 22-12-22
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/9637
dc.description.abstract In the era of automation everything is crawling towards it. UAV is one of them. There are many UAV from low to high range but many developing teams are developing fully autonomous UAV but they are facing huge obstacles for the costly hardware. So, I have come wit the idea of automation of low cost UAV with implementing of Machine Learning and OBC(On Board Computer) by communicating through MAVLink Protocol. As we are working on same platform with different area for that the UAV needed to be automated. Nowadays UAVs are being used for mapping, infrastructure analysis, navigation, food and package delivery, photography and film making, pest spraying and much more. Also during early 2019 we have seen voice controlled automation devices taking over our daily lives, providing automation to our day to day routine. This paper fully describes the design and implementation of an AAV which can fly autonomously and can work with multiple missions. Keywords: Pixhawk, Raspberry Pi, Motor, Raspbian Headless Buster, Mission Planner, PDB, Tx, Rx, Propellers, Frame, Antenna, GPS, en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Automation en_US
dc.subject Automation system en_US
dc.subject Autonomous en_US
dc.title Autonomous Flying of Uav with Machine Learning and Mavlink Communication en_US
dc.type Other en_US


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