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Design and Implementation of Navigat...

Chen, Xudong.

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Design and Implementation of Navigation Systems for Unmanned Aerial Vehicles.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design and Implementation of Navigation Systems for Unmanned Aerial Vehicles./
作者:	Chen, Xudong.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	99 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-09, Section: C.
Contained By:	Dissertations Abstracts International80-09C.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13850647
ISBN:	9781083578228

Design and Implementation of Navigation Systems for Unmanned Aerial Vehicles.
Chen, Xudong.

Design and Implementation of Navigation Systems for Unmanned Aerial Vehicles. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 99 p.

Source: Dissertations Abstracts International, Volume: 80-09, Section: C.

Thesis (Ph.D.)--National University of Singapore (Singapore), 2018.

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

The capability of unmanned systems, such as unmanned aerial vehicles (UAVs) autonomously executing mission or gathering information is valuable for many applications. In order to reliably and intelligently execute these applications, unmanned systems should be able to autonomously localize, navigate, avoid obstacles as well as detect and track objects. In this thesis, a quadcopter fUAV is of special interest to the author. The use of such a platform is justified from the technology readiness level. To improve the overall flight control performance, system modeling is essential for the controller to accurately track the reference based on the control law. To search and localize the object in the environment, marker-based visual object detection systems are designed to facilitate missions that require the unmanned systems to intelligent track and follow the target. The quadcopter system using the abovementioned algorithm is developed to autonomously land on a fast-moving truck during both day and night time. However, the vision-based localization is subject to many conditions and not reliable in certain environments. The 3D LiDAR-based localization and mapping algorithm is hence implemented with the quadcopter system to facilitate the autonomous navigation in the unknown GPS-denied environment.

ISBN: 9781083578228Subjects--Topical Terms:

649834
Electrical engineering.

Design and Implementation of Navigation Systems for Unmanned Aerial Vehicles.
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