A primer on autonomous aerial vehicle design

Coppejans, H.H.G. (Hugo); Myburgh, Hermanus Carel

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dc.contributor.author	Coppejans, H.H.G. (Hugo)
dc.contributor.author	Myburgh, Hermanus Carel
dc.date.accessioned	2016-02-16T10:25:43Z
dc.date.available	2016-02-16T10:25:43Z
dc.date.issued	2015-12-02
dc.description	H.H.G. Coppejans performed this work as part of his Master’s degree in Computer Engineering, under the supervision of H.C. Myburgh. This work is the combination of three research assignments in the form of an exam assignment. Each assignment was thoroughly reviewed and graded by H.C. Myburgh, who also provided detailed feedback, which H.H.G Coppejans incorporated in the final draft.	en_ZA
dc.description.abstract	There is a large amount of research currently being done on autonomous micro-aerial vehicles (MAV), such as quadrotor helicopters or quadcopters. The ability to create a working autonomousMAV depends mainly on integrating a simultaneous localization and mapping (SLAM) solution with the rest of the system. This paper provides an introduction for creating an autonomous MAV for enclosed environments, aimed at students and professionals alike. The standard autonomous system and MAV automation are discussed, while we focus on the core concepts of SLAM systems and trajectory planning algorithms. The advantages and disadvantages of using remote processing are evaluated, and recommendations are made regarding the viability of on-board processing. Recommendations are made regarding best practices to serve as a guideline for aspirant MAV designers.	en_ZA
dc.description.librarian	am2015	en_ZA
dc.description.uri	http://www.mdpi.com/journal/sensors	en_ZA
dc.identifier.citation	Coppejans, HHG & Myburgh, HC 2015, 'A primer on autonomous aerial vehicle design', Sensors, vol. 15, pp. 30033-30061.	en_ZA
dc.identifier.issn	1424-8220
dc.identifier.other	10.3390/s151229785
dc.identifier.uri	http://hdl.handle.net/2263/51412
dc.language.iso	en	en_ZA
dc.publisher	MDPI Publishing	en_ZA
dc.rights	© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution.	en_ZA
dc.subject	Autonomous	en_ZA
dc.subject	Quadcopter	en_ZA
dc.subject	Data processing	en_ZA
dc.subject	Compression	en_ZA
dc.subject	Microsoft Kinect	en_ZA
dc.subject	Simultaneous localization and mapping (SLAM)	en_ZA
dc.subject	Micro-aerial vehicles (MAV)	en_ZA
dc.subject	Laser interferometry detection and ranging (LiDAR)	en_ZA
dc.title	A primer on autonomous aerial vehicle design	en_ZA
dc.type	Article	en_ZA