Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements

Zachary Osterwisch; Omar Rinchi; Ahmad Alsharoa; Hakim Ghazzai; Yehia Massoud

doi:10.1109/ICC45041.2023.10279163

Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements

Zachary Osterwisch, Omar Rinchi, Ahmad Alsharoa, Hakim Ghazzai, Yehia Massoud

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

1 Scopus citations

Abstract

An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road segment coverage priorities. We propose to use a computational intelligent algorithm based on particle swarm optimization to solve the problem. Finally, we illustrate the benefits of using our proposed algorithm over other baselines.

Original language	English (US)
Title of host publication	ICC 2023 - IEEE International Conference on Communications
Subtitle of host publication	Sustainable Communications for Renaissance
Editors	Michele Zorzi, Meixia Tao, Walid Saad
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	241-246
Number of pages	6
ISBN (Electronic)	9781538674628
DOIs	https://doi.org/10.1109/ICC45041.2023.10279163
State	Published - 2023
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: May 28 2023 → Jun 1 2023

Publication series

Name	IEEE International Conference on Communications
Volume	2023-May
ISSN (Print)	1550-3607

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	05/28/23 → 06/1/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Computational Intelligence
Intelligent Transportation Systems (ITS)
Optimization
UAV-LiDAR (ULiD)

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC45041.2023.10279163

Cite this

Osterwisch, Z., Rinchi, O., Alsharoa, A., Ghazzai, H., & Massoud, Y. (2023). Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements. In M. Zorzi, M. Tao, & W. Saad (Eds.), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 241-246). (IEEE International Conference on Communications; Vol. 2023-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45041.2023.10279163

Osterwisch, Zachary ; Rinchi, Omar ; Alsharoa, Ahmad et al. / Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements. ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. editor / Michele Zorzi ; Meixia Tao ; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 241-246 (IEEE International Conference on Communications).

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title = "Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements",

abstract = "An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road segment coverage priorities. We propose to use a computational intelligent algorithm based on particle swarm optimization to solve the problem. Finally, we illustrate the benefits of using our proposed algorithm over other baselines.",

keywords = "Computational Intelligence, Intelligent Transportation Systems (ITS), Optimization, UAV-LiDAR (ULiD)",

author = "Zachary Osterwisch and Omar Rinchi and Ahmad Alsharoa and Hakim Ghazzai and Yehia Massoud",

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year = "2023",

doi = "10.1109/ICC45041.2023.10279163",

language = "English (US)",

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Osterwisch, Z, Rinchi, O, Alsharoa, A, Ghazzai, H & Massoud, Y 2023, Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements. in M Zorzi, M Tao & W Saad (eds), ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE International Conference on Communications, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., pp. 241-246, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 05/28/23. https://doi.org/10.1109/ICC45041.2023.10279163

Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements. / Osterwisch, Zachary; Rinchi, Omar; Alsharoa, Ahmad et al.
ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele Zorzi; Meixia Tao; Walid Saad. Institute of Electrical and Electronics Engineers Inc., 2023. p. 241-246 (IEEE International Conference on Communications; Vol. 2023-May).

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

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T1 - Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements

AU - Osterwisch, Zachary

AU - Rinchi, Omar

AU - Alsharoa, Ahmad

AU - Ghazzai, Hakim

AU - Massoud, Yehia

PY - 2023

Y1 - 2023

N2 - An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road segment coverage priorities. We propose to use a computational intelligent algorithm based on particle swarm optimization to solve the problem. Finally, we illustrate the benefits of using our proposed algorithm over other baselines.

AB - An unmanned aerial vehicle (UAV) integrated with the remote sensing technology of light detection and ranging (LiDAR) can provide accurate and real-time road traffic information. In this paper, we propose to equip UAVs with LiDAR sensors for Intelligent Transportation Systems (ITS) applications. The goal is to find the optimal 3D placement of multiple UAV-LiDAR (ULiDs) for a given road segmentation. We formulate an optimization problem to find the optimal placement such that the road coverage efficiency is maximized. The optimization problem is constrained by notable ULiD specifications such as field-of-view (FoV), point-cloud density, geographic information system (GIS) location, and road segment coverage priorities. We propose to use a computational intelligent algorithm based on particle swarm optimization to solve the problem. Finally, we illustrate the benefits of using our proposed algorithm over other baselines.

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KW - Intelligent Transportation Systems (ITS)

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M3 - Conference contribution

AN - SCOPUS:85149953370

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BT - ICC 2023 - IEEE International Conference on Communications

A2 - Zorzi, Michele

A2 - Tao, Meixia

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Osterwisch Z, Rinchi O, Alsharoa A, Ghazzai H , Massoud Y. Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements. In Zorzi M, Tao M, Saad W, editors, ICC 2023 - IEEE International Conference on Communications: Sustainable Communications for Renaissance. Institute of Electrical and Electronics Engineers Inc. 2023. p. 241-246. (IEEE International Conference on Communications). doi: 10.1109/ICC45041.2023.10279163

Multiple UAV-LiDAR Placement Optimization Under Road Priority and Resolution Requirements

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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