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Intelligent Energy-Efficient Drones:...

Sarkar, Sayani.

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Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making./
作者:	Sarkar, Sayani.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	165 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-01, Section: A.
Contained By:	Dissertations Abstracts International83-01A.
標題:	Computer engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28496600
ISBN:	9798519185318

Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.
Sarkar, Sayani.

Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 165 p.

Source: Dissertations Abstracts International, Volume: 83-01, Section: A.

Thesis (Ph.D.)--University of Louisiana at Lafayette, 2021.

This item must not be sold to any third party vendors.

Intelligent drones are the new frontier of science due to their mobility and significant advances in sensors, IoT modules, and artificial intelligence. They are designed to carry an optional payload, the camera system, and onboard electronics for remotely controlling the system and have been used for aerial photography, hobbyist drone racing, artificial aerial swarming, and different monitoring, surveying, and mapping applications. But UAV has a shorter flight time due to limited battery life. To address this issue, we study three research areas (a) Given limited battery power, planning intelligent routes for UAVs that would facilitate optimized flight time for real-time monitoring, (b) UAV's flight time predictions when payloads are attached to it, and (c) Conserve drone energy and expedite onboard decision making with secured Internet of Drone architecture. The motivation behind those studies are optimized multirotor UAVs short flight time due to its limited battery life and expedite real-time onboard decision-making power. The research contributions are towards sustainable social well-being and an intelligent future, with aerial imaging with AI, computer vision, IoT and remote sensing sensors, machine learning tools, and cloud computing research.

ISBN: 9798519185318Subjects--Topical Terms:

621879
Computer engineering.
Subjects--Index Terms:

Deep learning

Intelligent Energy-Efficient Drones: Path Planning, Real-Time Monitoring and Decision-Making.
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