Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Autonomous Navigation for Multirotor UAVs (Quadcopter Drone)

Autonomous Navigation for Multirotor UAVs (Quadcopter Drone)

T, Srinivasan
S, Karthikeyan

Paperback

Technology & Engineering

ISBN10: 620844232X
ISBN13: 9786208442323
Publisher: LAP Lambert Academic Publishing
Published: Apr 11 2025
Pages: 52
Weight: 0.18
Height: 0.12 Width: 6.00 Depth: 9.00
Language: English
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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