State of the art in vision-based localization techniques for autonomous navigation systems

Yusra Alkendi; Lakmal Seneviratne; Yahya Zweiri

doi:10.1109/ACCESS.2021.3082778

State of the art in vision-based localization techniques for autonomous navigation systems

Yusra Alkendi, Lakmal Seneviratne, Yahya Zweiri

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	76847-76874
Journal	IEEE Access
Volume	9
Early online date	21 May 2021
DOIs	https://doi.org/10.1109/ACCESS.2021.3082778
Publication status	Published - 2021

Bibliographical note

Note: This work was supported by the Khalifa University of Science and Technology, Aerospace Engineering Department, and
the Khalifa University of Science and Technology under Award RC1-2018-KUCARS.

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1109/ACCESS.2021.3082778

Zweiri-Y-49313-VoRFinal published version, 6.94 MBLicence: CC BY

https://doi.org/10.1109/ACCESS.2021.3082778

Cite this

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title = "State of the art in vision-based localization techniques for autonomous navigation systems",

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author = "Yusra Alkendi and Lakmal Seneviratne and Yahya Zweiri",

note = "Note: This work was supported by the Khalifa University of Science and Technology, Aerospace Engineering Department, and the Khalifa University of Science and Technology under Award RC1-2018-KUCARS.",

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AU - Alkendi, Yusra

AU - Seneviratne, Lakmal

AU - Zweiri, Yahya

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U2 - 10.1109/ACCESS.2021.3082778

DO - 10.1109/ACCESS.2021.3082778

M3 - Article

SN - 2169-3536

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EP - 76874

JO - IEEE Access

JF - IEEE Access

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