Approaches for Mapping Night-Time Road Environment Lighting Conditions

M. T. Vaaja; M. Maksimainen; Matti Kurkela; Juho-Pekka Virtanen; T. Rantanen; H. Hyyppä

doi:10.5194/isprs-annals-V-1-2020-199-2020

Approaches for Mapping Night-Time Road Environment Lighting Conditions

M. T. Vaaja, M. Maksimainen, Matti Kurkela, Juho-Pekka Virtanen, T. Rantanen, H. Hyyppä

Tutkimustuotos: Lehtiartikkeli › Conference article › Scientific › vertaisarvioitu

4 Sitaatiot (Scopus)

164 Lataukset (Pure)

Abstrakti

The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.

Alkuperäiskieli	Englanti
Sivut	199-205
Sivumäärä	7
Julkaisu	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Vuosikerta	5
Numero	1
DOI - pysyväislinkit	https://doi.org/10.5194/isprs-annals-V-1-2020-199-2020
Tila	Julkaistu - 3 elok. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	ISPRS Congress - Technical Commission I - Virtual, Nice, Ranska Kesto: 31 elok. 2020 → 2 syysk. 2020 Konferenssinumero: 24

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10.5194/isprs-annals-V-1-2020-199-2020

isprs-annals-V-1-2020-199-2020Final published version, 1,3 MB

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@Quality4Roads: Tien laadun mittaaminen
Vaaja, M. T., Putkiranta, P., Kurkela, M., Keitaanniemi, A., Shafaat, O., Tuori, S. & Kauhanen, H.
01/09/2019 → 31/08/2023
Projekti: Academy of Finland: Other research funding
COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem
Nieminen, J., Ahlavuo, M., Vaaja, M. T., Laitala, A., Julin, A., Hyyppä, H., Maksimainen, M., Lehtola, V., Ståhle, P., Haggren, H., Rantanen, T., Gullmets, H., Kauhanen, H., Jaalama, K., Virtanen, J., Ingman, M., Karvonen, S., Kurkela, M. & Luhtala, L.
01/05/2015 → 31/12/2017
Projekti: Academy of Finland: Strategic research funding
CoE - LaSR: Laserkeilauksen huippuyksikkö
Nieminen, J., Vaaja, M. T., Laitala, A., Julin, A., Maksimainen, M., Hyyppä, H., Rönnholm, P., Virtanen, J., Junttila, S., Puustinen, T., Haggren, H., Ala-Ketola, M., Lehtola, V., Aho, S., Ståhle, P., Kasvi, E., Kurkela, M., Ingman, M., Rantanen, T., Torkkel, A., Jaalama, K., Talvela, J., Handolin, H., Ahlavuo, M., El-Mahgary, S. & Viitanen, K.
01/01/2014 → 31/12/2019
Projekti: Academy of Finland: Other research funding

3D-studio (i3)
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@article{fd2e0dbd403b488b9d5014d3fc5e4471,

title = "Approaches for Mapping Night-Time Road Environment Lighting Conditions",

abstract = "The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.",

keywords = "Imaging Luminance Photometry, Mobile Laser Scanning, Photogrammetry, Road Lighting, Terrestrial Laser Scanning, UAV",

author = "Vaaja, {M. T.} and M. Maksimainen and Matti Kurkela and Juho-Pekka Virtanen and T. Rantanen and H. Hyypp{\"a}",

year = "2020",

month = aug,

day = "3",

doi = "10.5194/isprs-annals-V-1-2020-199-2020",

language = "English",

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journal = "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

issn = "2194-9042",

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note = "ISPRS Congress - Technical Commission I ; Conference date: 31-08-2020 Through 02-09-2020",

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TY - JOUR

T1 - Approaches for Mapping Night-Time Road Environment Lighting Conditions

AU - Vaaja, M. T.

AU - Maksimainen, M.

AU - Kurkela, Matti

AU - Virtanen, Juho-Pekka

AU - Rantanen, T.

AU - Hyyppä, H.

N1 - Conference code: 24

PY - 2020/8/3

Y1 - 2020/8/3

N2 - The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.

AB - The integration of the 3D measurement techniques with luminance imaging has increased the potential for mapping night-time road lighting conditions. In this study, we present selected static and mobile approaches for the purpose. The measurement methods include conventional 2D imaging luminance photometry and the integration of the luminance imaging with terrestrial and mobile laser scanning. In addition, we present our initial experiences with performing integrated luminance mapping and photogrammetric reconstruction from drone imagery. All of the presented methods require that the camera is calibrated with a reference luminance source. Our results show the results of luminance calibration and feasibility of 3D luminance point clouds for evaluating road surface luminances. In addition, we discuss the other potential applications, limitations and future research.

KW - Imaging Luminance Photometry

KW - Mobile Laser Scanning

KW - Photogrammetry

KW - Road Lighting

KW - Terrestrial Laser Scanning

KW - UAV

UR - http://www.scopus.com/inward/record.url?scp=85091055861&partnerID=8YFLogxK

U2 - 10.5194/isprs-annals-V-1-2020-199-2020

DO - 10.5194/isprs-annals-V-1-2020-199-2020

M3 - Conference article

AN - SCOPUS:85091055861

SN - 2194-9042

VL - 5

SP - 199

EP - 205

JO - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

JF - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

IS - 1

T2 - ISPRS Congress - Technical Commission I

Y2 - 31 August 2020 through 2 September 2020

ER -

Approaches for Mapping Night-Time Road Environment Lighting Conditions

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Sormenjälki

Projektit

@Quality4Roads: Tien laadun mittaaminen

COMBAT: Competence-Based Growth Through Integrated Disruptive Technologies of 3D Digitalization, Robotics, Geospatial Information and Image Processing/Computing - Point Cloud Ecosystem

CoE - LaSR: Laserkeilauksen huippuyksikkö

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3D-studio (i3)

i3 – Industry Innovation Infrastructure

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