Standard
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. / Li, Teng
; Xia, Min; Chen, Jiahong et al.
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3683-3688 (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017; Vol. 2017-January).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Li, T
, Xia, M, Chen, J, Gao, S & De Silva, C 2017,
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. in
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 3683-3688, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, Canada,
5/10/17.
https://doi.org/10.1109/SMC.2017.8123205APA
Li, T.
, Xia, M., Chen, J., Gao, S., & De Silva, C. (2017).
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. In
2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 (pp. 3683-3688). (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc..
https://doi.org/10.1109/SMC.2017.8123205Vancouver
Li T
, Xia M, Chen J, Gao S, De Silva C.
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3683-3688. (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017). Epub 2017 Oct 5. doi: 10.1109/SMC.2017.8123205
Author
Li, Teng
; Xia, Min ; Chen, Jiahong et al. /
A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles. 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3683-3688 (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017).
Bibtex
@inproceedings{52bd56c638744b20819a41c0a0f2a199,
title = "A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles",
abstract = "Unmanned Surface Vehicles (USV) with capabilities of mobile sensing, data processing, and wireless communication have been deployed to support remote aquatic environmental monitoring. This paper introduces a sampling planner for spatiotemporal survey of an aquatic environment using a USV-based sensing system. The sampling planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over a geographical area and generate paths for the USVs to visit more SLoIs within their energy budgets. The sampling locations are chosen based on a cellular decomposition of uniform hexagonal cells. The SLoIs are visited and sensed by the USVs along a planned path ring, which is generated through a Spanning Tree-based Planning (STP) approach. To ensure that each SLoI measures within a certain time interval, multiple USVs are assigned to travel along the sub-paths that are divided from the generated path ring. In this paper, first an execution example presents the effectiveness of the proposed method. Then, the performance of the proposed sampling planner is demonstrated based on two application scenarios using USVs for aquatic environmental monitoring. The experimental results are presented in this paper.",
keywords = "Aquatic environmental monitoring, Automated sampling, Sampling planner, Unmanned surface vehicles",
author = "Teng Li and Min Xia and Jiahong Chen and Shujun Gao and {De Silva}, Clarence",
year = "2017",
month = nov,
day = "27",
doi = "10.1109/SMC.2017.8123205",
language = "English",
series = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3683--3688",
booktitle = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017",
note = "2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 ; Conference date: 05-10-2017 Through 08-10-2017",
}
RIS
TY - GEN
T1 - A hexagonal grid-based sampling planner for aquatic environmental monitoring using unmanned surface vehicles
AU - Li, Teng
AU - Xia, Min
AU - Chen, Jiahong
AU - Gao, Shujun
AU - De Silva, Clarence
PY - 2017/11/27
Y1 - 2017/11/27
N2 - Unmanned Surface Vehicles (USV) with capabilities of mobile sensing, data processing, and wireless communication have been deployed to support remote aquatic environmental monitoring. This paper introduces a sampling planner for spatiotemporal survey of an aquatic environment using a USV-based sensing system. The sampling planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over a geographical area and generate paths for the USVs to visit more SLoIs within their energy budgets. The sampling locations are chosen based on a cellular decomposition of uniform hexagonal cells. The SLoIs are visited and sensed by the USVs along a planned path ring, which is generated through a Spanning Tree-based Planning (STP) approach. To ensure that each SLoI measures within a certain time interval, multiple USVs are assigned to travel along the sub-paths that are divided from the generated path ring. In this paper, first an execution example presents the effectiveness of the proposed method. Then, the performance of the proposed sampling planner is demonstrated based on two application scenarios using USVs for aquatic environmental monitoring. The experimental results are presented in this paper.
AB - Unmanned Surface Vehicles (USV) with capabilities of mobile sensing, data processing, and wireless communication have been deployed to support remote aquatic environmental monitoring. This paper introduces a sampling planner for spatiotemporal survey of an aquatic environment using a USV-based sensing system. The sampling planner is proposed to distribute the Sampling Locations of Interest (SLoIs) over a geographical area and generate paths for the USVs to visit more SLoIs within their energy budgets. The sampling locations are chosen based on a cellular decomposition of uniform hexagonal cells. The SLoIs are visited and sensed by the USVs along a planned path ring, which is generated through a Spanning Tree-based Planning (STP) approach. To ensure that each SLoI measures within a certain time interval, multiple USVs are assigned to travel along the sub-paths that are divided from the generated path ring. In this paper, first an execution example presents the effectiveness of the proposed method. Then, the performance of the proposed sampling planner is demonstrated based on two application scenarios using USVs for aquatic environmental monitoring. The experimental results are presented in this paper.
KW - Aquatic environmental monitoring
KW - Automated sampling
KW - Sampling planner
KW - Unmanned surface vehicles
U2 - 10.1109/SMC.2017.8123205
DO - 10.1109/SMC.2017.8123205
M3 - Conference contribution/Paper
AN - SCOPUS:85044375365
T3 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
SP - 3683
EP - 3688
BT - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Y2 - 5 October 2017 through 8 October 2017
ER -
