Light pole localization in a smart city

M.J. Holenderski; R. Verhoeven; T. Özçelebi; J.J. Lukkien

doi:10.1109/ETFA.2014.7005300

Light pole localization in a smart city

M.J. Holenderski, R. Verhoeven, T. Özçelebi, J.J. Lukkien

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

8 Citations (Scopus)

1 Downloads (Pure)

Abstract

Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.

Original language	English
Title of host publication	19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA, Barcelona Spain, September 16-19, 2014)
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-4
ISBN (Print)	978-1-4799-4845-1
DOIs	https://doi.org/10.1109/ETFA.2014.7005300
Publication status	Published - 2014
Event	19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2014) - Barcelona, Spain Duration: 16 Sept 2014 → 19 Sept 2014 Conference number: 19

Conference

Conference	19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2014)
Abbreviated title	ETFA 2014
Country/Territory	Spain
City	Barcelona
Period	16/09/14 → 19/09/14
Other	2014 IEEE Emerging Technology and Factory Automation

UN SDGs

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

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10.1109/ETFA.2014.7005300

Cite this

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title = "Light pole localization in a smart city",

abstract = "Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.",

author = "M.J. Holenderski and R. Verhoeven and T. {\"O}z{\c c}elebi and J.J. Lukkien",

year = "2014",

doi = "10.1109/ETFA.2014.7005300",

language = "English",

isbn = "978-1-4799-4845-1",

pages = "1--4",

booktitle = "19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA, Barcelona Spain, September 16-19, 2014)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2014), ETFA 2014 ; Conference date: 16-09-2014 Through 19-09-2014",

}

Holenderski, MJ , Verhoeven, R , Özçelebi, T & Lukkien, JJ 2014, Light pole localization in a smart city. in 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA, Barcelona Spain, September 16-19, 2014). Institute of Electrical and Electronics Engineers, pp. 1-4, 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2014), Barcelona, Spain, 16/09/14. https://doi.org/10.1109/ETFA.2014.7005300

Light pole localization in a smart city. / Holenderski, M.J.; Verhoeven, R.; Özçelebi, T. et al.
19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA, Barcelona Spain, September 16-19, 2014). Institute of Electrical and Electronics Engineers, 2014. p. 1-4.

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

TY - GEN

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AU - Verhoeven, R.

AU - Özçelebi, T.

AU - Lukkien, J.J.

N1 - Conference code: 19

PY - 2014

Y1 - 2014

N2 - Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.

AB - Many smart city lighting applications require information about the location of light poles, in particular about which light poles are neighbors along the street with respect to passing traffic. This paper addresses the problem of deriving the topology of light poles in a smart city, relying only on the data gathered from Passive Infrared Sensors attached to the light poles. A statistical algorithm is presented and evaluated based on a data set gathered from a real deployment in a residential area.

U2 - 10.1109/ETFA.2014.7005300

DO - 10.1109/ETFA.2014.7005300

M3 - Conference contribution

SN - 978-1-4799-4845-1

SP - 1

EP - 4

BT - 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA, Barcelona Spain, September 16-19, 2014)

PB - Institute of Electrical and Electronics Engineers

T2 - 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2014)

Y2 - 16 September 2014 through 19 September 2014

ER -

Light pole localization in a smart city

Abstract

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UN SDGs

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