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- W4386106356 abstract "Unmanned Aerial Vehicles (UAVs) have many advantages compared to other vehicle systems. UAVs are faster, cheaper, and more flexible. However, like many other systems UAVs also need navigation. But, it’s not safe to use only one navigation system for various reasons. The recent increase in the number of cyberattacks is one of these reasons. Failure of the navigation system can cause the UAV to lose control. This, in turn, can lead to serious accidents. Therefore, this work analyzes various techniques to ensure the autonomous navigation of UAVs. Also, the advantages and disadvantages of each technique are discussed. Finally, the implementation of these techniques with Kalman filters (KF), deep learning, and machine learning is demonstrated and the results of various studies on this subject are also highlighted." @default.
- W4386106356 created "2023-08-24" @default.
- W4386106356 creator A5052370522 @default.
- W4386106356 date "2023-01-24" @default.
- W4386106356 modified "2023-09-26" @default.
- W4386106356 title "ANALYSIS OF VARIOUS TECHNIQUES FOR ENSURING AUTONOMOUS NAVIGATION OF UNMANNED AERIAL VEHICLES" @default.
- W4386106356 doi "https://doi.org/10.25045/jpit.v14.i1.02" @default.
- W4386106356 hasPublicationYear "2023" @default.
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