Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities

Uchechi Ukaegbu; Lagouge Tartibu; Modestus Okwu

doi:10.1109/icABCD51485.2021.9519367

Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities

Uchechi Ukaegbu
, Lagouge Tartibu
, Modestus Okwu

Mechanical and Industrial Engineering Technology

University of Johannesburg

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

10 Citations (Scopus)

Abstract

The world is moving very fast as Industry 4.0 has changed the way we live our daily lives. Researchers and strategists continue daily to explore technological innovations linked with artificial intelligence, machine learning, and robotics to support humans. The new technology no doubt will boost utilisation of resources and improve operations in diverse areas ranging from agriculture, health, military, oil and gas, transportation, big-box facilities, and fast-food services, thereby optimising processes and making life better and much more comfortable for humans. Unmanned aerial vehicle (UAV) has been identified as a special robotic system capable of meeting human needs if effectively programmed. This research is focused on the exposition of the diverse areas of application of UAV in the twenty-first century. Application of UAV in Agriculture, health, military, security, and others have been detailed. The challenges and future opportunities of UAVs have equally been identified. One of the major issues of concern is the endurance problem of UAV systems and issues on safety. Suggestions have been made on possible ways to address such issues.

Original language	English
Title of host publication	icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings
Editors	Sameerchand Pudaruth, Upasana Singh
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728185927
DOIs	https://doi.org/10.1109/icABCD51485.2021.9519367
Publication status	Published - 5 Aug 2021
Event	4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2021 - Durban, KwaZulu Natal, South Africa Duration: 5 Aug 2021 → 6 Aug 2021

Publication series

Name	icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings

Conference

Conference	4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2021
Country/Territory	South Africa
City	Durban, KwaZulu Natal
Period	5/08/21 → 6/08/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Industry 4.0
last-mile operations
machine learning
robotics
unmanned aerial vehicle

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management
Control and Optimization
Artificial Intelligence
Computer Networks and Communications

Access to Document

10.1109/icABCD51485.2021.9519367

Cite this

Ukaegbu, U., Tartibu, L., & Okwu, M. (2021). Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities. In S. Pudaruth, & U. Singh (Eds.), icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings (icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icABCD51485.2021.9519367

Ukaegbu, Uchechi ; Tartibu, Lagouge ; Okwu, Modestus. / Unmanned Aerial Vehicles for the Future : Classification, Challenges, and Opportunities. icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings. editor / Sameerchand Pudaruth ; Upasana Singh. Institute of Electrical and Electronics Engineers Inc., 2021. (icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings).

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abstract = "The world is moving very fast as Industry 4.0 has changed the way we live our daily lives. Researchers and strategists continue daily to explore technological innovations linked with artificial intelligence, machine learning, and robotics to support humans. The new technology no doubt will boost utilisation of resources and improve operations in diverse areas ranging from agriculture, health, military, oil and gas, transportation, big-box facilities, and fast-food services, thereby optimising processes and making life better and much more comfortable for humans. Unmanned aerial vehicle (UAV) has been identified as a special robotic system capable of meeting human needs if effectively programmed. This research is focused on the exposition of the diverse areas of application of UAV in the twenty-first century. Application of UAV in Agriculture, health, military, security, and others have been detailed. The challenges and future opportunities of UAVs have equally been identified. One of the major issues of concern is the endurance problem of UAV systems and issues on safety. Suggestions have been made on possible ways to address such issues.",

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Ukaegbu, U, Tartibu, L & Okwu, M 2021, Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities. in S Pudaruth & U Singh (eds), icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings. icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings, Institute of Electrical and Electronics Engineers Inc., 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2021, Durban, KwaZulu Natal, South Africa, 5/08/21. https://doi.org/10.1109/icABCD51485.2021.9519367

Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities. / Ukaegbu, Uchechi; Tartibu, Lagouge; Okwu, Modestus.
icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings. ed. / Sameerchand Pudaruth; Upasana Singh. Institute of Electrical and Electronics Engineers Inc., 2021. (icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings).

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

TY - GEN

T1 - Unmanned Aerial Vehicles for the Future

T2 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2021

AU - Ukaegbu, Uchechi

AU - Tartibu, Lagouge

AU - Okwu, Modestus

PY - 2021/8/5

Y1 - 2021/8/5

N2 - The world is moving very fast as Industry 4.0 has changed the way we live our daily lives. Researchers and strategists continue daily to explore technological innovations linked with artificial intelligence, machine learning, and robotics to support humans. The new technology no doubt will boost utilisation of resources and improve operations in diverse areas ranging from agriculture, health, military, oil and gas, transportation, big-box facilities, and fast-food services, thereby optimising processes and making life better and much more comfortable for humans. Unmanned aerial vehicle (UAV) has been identified as a special robotic system capable of meeting human needs if effectively programmed. This research is focused on the exposition of the diverse areas of application of UAV in the twenty-first century. Application of UAV in Agriculture, health, military, security, and others have been detailed. The challenges and future opportunities of UAVs have equally been identified. One of the major issues of concern is the endurance problem of UAV systems and issues on safety. Suggestions have been made on possible ways to address such issues.

AB - The world is moving very fast as Industry 4.0 has changed the way we live our daily lives. Researchers and strategists continue daily to explore technological innovations linked with artificial intelligence, machine learning, and robotics to support humans. The new technology no doubt will boost utilisation of resources and improve operations in diverse areas ranging from agriculture, health, military, oil and gas, transportation, big-box facilities, and fast-food services, thereby optimising processes and making life better and much more comfortable for humans. Unmanned aerial vehicle (UAV) has been identified as a special robotic system capable of meeting human needs if effectively programmed. This research is focused on the exposition of the diverse areas of application of UAV in the twenty-first century. Application of UAV in Agriculture, health, military, security, and others have been detailed. The challenges and future opportunities of UAVs have equally been identified. One of the major issues of concern is the endurance problem of UAV systems and issues on safety. Suggestions have been made on possible ways to address such issues.

KW - Industry 4.0

KW - last-mile operations

KW - machine learning

KW - robotics

KW - unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/85115400258

U2 - 10.1109/icABCD51485.2021.9519367

DO - 10.1109/icABCD51485.2021.9519367

M3 - Conference contribution

AN - SCOPUS:85115400258

T3 - icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings

BT - icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings

A2 - Pudaruth, Sameerchand

A2 - Singh, Upasana

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 August 2021 through 6 August 2021

ER -

Ukaegbu U, Tartibu L, Okwu M. Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities. In Pudaruth S, Singh U, editors, icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (icABCD 2021 - 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings). doi: 10.1109/icABCD51485.2021.9519367

Unmanned Aerial Vehicles for the Future: Classification, Challenges, and Opportunities

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this