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

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

1 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2021 IEEE International Conference on Electro Information Technology, EIT 2021
Yayınlayan	IEEE Computer Society
Sayfalar	97-100
Sayfa sayısı	4
ISBN (Elektronik)	9781665418461
DOI'lar	https://doi.org/10.1109/EIT51626.2021.9491843
Yayın durumu	Yayınlandı - 14 May 2021
Harici olarak yayınlandı	Evet
Etkinlik	2021 IEEE International Conference on Electro Information Technology, EIT 2021 - Mt. Pleasant, United States Süre: 14 May 2021 → 15 May 2021

Yayın serisi

Adı	IEEE International Conference on Electro Information Technology
Hacim	2021-May
ISSN (Basılı)	2154-0357
ISSN (Elektronik)	2154-0373

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2021 IEEE International Conference on Electro Information Technology, EIT 2021
Ülke/Bölge	United States
Şehir	Mt. Pleasant
Periyot	14/05/21 → 15/05/21

Bibliyografik not

Publisher Copyright:
© 2021 IEEE.

Belgeye Erişim

10.1109/EIT51626.2021.9491843

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 9491843 (IEEE International Conference on Electro Information Technology; Hac. 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",

pages = "97--100",

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

address = "United States",

}

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, hac. 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; Hac. 2021-May).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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T1 - Autonomous Aerial Vehicle Vision and Sensor Guided Landing

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AU - Brown, Elijah

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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

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PB - IEEE Computer Society

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

Y2 - 14 May 2021 through 15 May 2021

ER -

Autonomous Aerial Vehicle Vision and Sensor Guided Landing

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