Analysis of localization for drone-fleet

Jin Hyeok Kang, Kyung Joon Park, Hwangnam Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Generally in mobile devices, localization is a critical issue to provide various services. A common way to find location is to use GPS. However, GPS has several limitations such as its reliability. Especially in none line of sight (NLOS) situations such as indoor environment, GPS is unable to find location. This could be a serious issue for drone fleet because we may lose control of drones. In this paper, we present a comprehensive survey on effective solutions for complementing GPS for drone fleet. In particular, we introduce several localization techniques that are independent of GPS. Since each technique has its own advantage as well as disadvantage. Hence, we categorize these localization techniques in order to find which technique is suitable for drone fleet.

Original languageEnglish
Title of host publicationInternational Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages533-538
Number of pages6
ISBN (Print)9781467371155
DOIs
Publication statusPublished - 2015 Dec 11
Event6th International Conference on Information and Communication Technology Convergence, ICTC 2015 - Jeju Island, Korea, Republic of
Duration: 2015 Oct 282015 Oct 30

Other

Other6th International Conference on Information and Communication Technology Convergence, ICTC 2015
CountryKorea, Republic of
CityJeju Island
Period15/10/2815/10/30

Fingerprint

Global positioning system
Mobile devices
Drones

Keywords

  • Aerial Network
  • Drone
  • Localization
  • Location estimation
  • Mobile Network
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

Cite this

Kang, J. H., Park, K. J., & Kim, H. (2015). Analysis of localization for drone-fleet. In International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015 (pp. 533-538). [7354604] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2015.7354604

Analysis of localization for drone-fleet. / Kang, Jin Hyeok; Park, Kyung Joon; Kim, Hwangnam.

International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 533-538 7354604.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kang, JH, Park, KJ & Kim, H 2015, Analysis of localization for drone-fleet. in International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015., 7354604, Institute of Electrical and Electronics Engineers Inc., pp. 533-538, 6th International Conference on Information and Communication Technology Convergence, ICTC 2015, Jeju Island, Korea, Republic of, 15/10/28. https://doi.org/10.1109/ICTC.2015.7354604
Kang JH, Park KJ, Kim H. Analysis of localization for drone-fleet. In International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 533-538. 7354604 https://doi.org/10.1109/ICTC.2015.7354604
Kang, Jin Hyeok ; Park, Kyung Joon ; Kim, Hwangnam. / Analysis of localization for drone-fleet. International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 533-538
@inproceedings{12116fc74de64b41b76f22e9a36a023f,
title = "Analysis of localization for drone-fleet",
abstract = "Generally in mobile devices, localization is a critical issue to provide various services. A common way to find location is to use GPS. However, GPS has several limitations such as its reliability. Especially in none line of sight (NLOS) situations such as indoor environment, GPS is unable to find location. This could be a serious issue for drone fleet because we may lose control of drones. In this paper, we present a comprehensive survey on effective solutions for complementing GPS for drone fleet. In particular, we introduce several localization techniques that are independent of GPS. Since each technique has its own advantage as well as disadvantage. Hence, we categorize these localization techniques in order to find which technique is suitable for drone fleet.",
keywords = "Aerial Network, Drone, Localization, Location estimation, Mobile Network, Wireless sensor networks",
author = "Kang, {Jin Hyeok} and Park, {Kyung Joon} and Hwangnam Kim",
year = "2015",
month = "12",
day = "11",
doi = "10.1109/ICTC.2015.7354604",
language = "English",
isbn = "9781467371155",
pages = "533--538",
booktitle = "International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Analysis of localization for drone-fleet

AU - Kang, Jin Hyeok

AU - Park, Kyung Joon

AU - Kim, Hwangnam

PY - 2015/12/11

Y1 - 2015/12/11

N2 - Generally in mobile devices, localization is a critical issue to provide various services. A common way to find location is to use GPS. However, GPS has several limitations such as its reliability. Especially in none line of sight (NLOS) situations such as indoor environment, GPS is unable to find location. This could be a serious issue for drone fleet because we may lose control of drones. In this paper, we present a comprehensive survey on effective solutions for complementing GPS for drone fleet. In particular, we introduce several localization techniques that are independent of GPS. Since each technique has its own advantage as well as disadvantage. Hence, we categorize these localization techniques in order to find which technique is suitable for drone fleet.

AB - Generally in mobile devices, localization is a critical issue to provide various services. A common way to find location is to use GPS. However, GPS has several limitations such as its reliability. Especially in none line of sight (NLOS) situations such as indoor environment, GPS is unable to find location. This could be a serious issue for drone fleet because we may lose control of drones. In this paper, we present a comprehensive survey on effective solutions for complementing GPS for drone fleet. In particular, we introduce several localization techniques that are independent of GPS. Since each technique has its own advantage as well as disadvantage. Hence, we categorize these localization techniques in order to find which technique is suitable for drone fleet.

KW - Aerial Network

KW - Drone

KW - Localization

KW - Location estimation

KW - Mobile Network

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=84964870779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964870779&partnerID=8YFLogxK

U2 - 10.1109/ICTC.2015.7354604

DO - 10.1109/ICTC.2015.7354604

M3 - Conference contribution

SN - 9781467371155

SP - 533

EP - 538

BT - International Conference on ICT Convergence 2015: Innovations Toward the IoT, 5G, and Smart Media Era, ICTC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -