Autonomous Aerial Vehicle Vision and Sensor Guided Landing

Gabriel Bitencourt; Elijah Brown; Cedric Bleimnling; Gilbert Lai; Arman Molki; Tolga Kaya

doi:10.1109/EIT51626.2021.9491843

Autonomous Aerial Vehicle Vision and Sensor Guided Landing

Gabriel Bitencourt, Elijah Brown, Cedric Bleimnling, Gilbert Lai, Arman Molki, Tolga Kaya

Sacred Heart University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.

Original language	English
Title of host publication	2021 IEEE International Conference on Electro Information Technology, EIT 2021
Publisher	IEEE Computer Society
Pages	97-100
Number of pages	4
ISBN (Electronic)	9781665418461
DOIs	https://doi.org/10.1109/EIT51626.2021.9491843
Publication status	Published - 14 May 2021
Externally published	Yes
Event	2021 IEEE International Conference on Electro Information Technology, EIT 2021 - Mt. Pleasant, United States Duration: 14 May 2021 → 15 May 2021

Publication series

Name	IEEE International Conference on Electro Information Technology
Volume	2021-May
ISSN (Print)	2154-0357
ISSN (Electronic)	2154-0373

Conference

Conference	2021 IEEE International Conference on Electro Information Technology, EIT 2021
Country/Territory	United States
City	Mt. Pleasant
Period	14/05/21 → 15/05/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Access to Document

10.1109/EIT51626.2021.9491843

Cite this

Bitencourt, G., Brown, E., Bleimnling, C., Lai, G., Molki, A., & Kaya, T. (2021). Autonomous Aerial Vehicle Vision and Sensor Guided Landing. In 2021 IEEE International Conference on Electro Information Technology, EIT 2021 (pp. 97-100). Article 9491843 (IEEE International Conference on Electro Information Technology; Vol. 2021-May). IEEE Computer Society. https://doi.org/10.1109/EIT51626.2021.9491843

@inproceedings{d97c105c463c454b9d1e35d380f83080,

title = "Autonomous Aerial Vehicle Vision and Sensor Guided Landing",

abstract = "The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.",

author = "Gabriel Bitencourt and Elijah Brown and Cedric Bleimnling and Gilbert Lai and Arman Molki and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Electro Information Technology, EIT 2021 ; Conference date: 14-05-2021 Through 15-05-2021",

year = "2021",

month = may,

day = "14",

doi = "10.1109/EIT51626.2021.9491843",

language = "English",

series = "IEEE International Conference on Electro Information Technology",

publisher = "IEEE Computer Society",

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booktitle = "2021 IEEE International Conference on Electro Information Technology, EIT 2021",

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Bitencourt, G, Brown, E, Bleimnling, C, Lai, G, Molki, A & Kaya, T 2021, Autonomous Aerial Vehicle Vision and Sensor Guided Landing. in 2021 IEEE International Conference on Electro Information Technology, EIT 2021., 9491843, IEEE International Conference on Electro Information Technology, vol. 2021-May, IEEE Computer Society, pp. 97-100, 2021 IEEE International Conference on Electro Information Technology, EIT 2021, Mt. Pleasant, United States, 14/05/21. https://doi.org/10.1109/EIT51626.2021.9491843

Autonomous Aerial Vehicle Vision and Sensor Guided Landing. / Bitencourt, Gabriel; Brown, Elijah; Bleimnling, Cedric et al.
2021 IEEE International Conference on Electro Information Technology, EIT 2021. IEEE Computer Society, 2021. p. 97-100 9491843 (IEEE International Conference on Electro Information Technology; Vol. 2021-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Autonomous Aerial Vehicle Vision and Sensor Guided Landing

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AU - Brown, Elijah

AU - Bleimnling, Cedric

AU - Lai, Gilbert

AU - Molki, Arman

AU - Kaya, Tolga

PY - 2021/5/14

Y1 - 2021/5/14

N2 - The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.

AB - The use of autonomous landing of aerial vehicles is increasing in demand. Applications of this ability can range from simple drone delivery to unmanned military missions. To be able to land at a spot identified by local information, such as a visual marker, creates an efficient and versatile solution. This allows for a more user/consumer friendly device overall. To achieve this goal the use of computer vision and an array of ranging sensors will be explored. In our approach we utilized an April Tag as our location identifier and point of reference. MATLAB/Simulink interface was used to develop the platform environment.

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U2 - 10.1109/EIT51626.2021.9491843

DO - 10.1109/EIT51626.2021.9491843

M3 - Conference contribution

AN - SCOPUS:85111827723

T3 - IEEE International Conference on Electro Information Technology

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BT - 2021 IEEE International Conference on Electro Information Technology, EIT 2021

PB - IEEE Computer Society

T2 - 2021 IEEE International Conference on Electro Information Technology, EIT 2021

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ER -

Autonomous Aerial Vehicle Vision and Sensor Guided Landing

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