Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment

Mikko Maksimainen; Matti T. Vaaja; Matti Kurkela; Juho-Pekka Virtanen; Arttu Julin; Kaisa Jaalama; Hannu Hyyppä

doi:10.3390/ijgi9070455

Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment

Mikko Maksimainen^*, Matti T. Vaaja, Matti Kurkela, Juho-Pekka Virtanen, Arttu Julin, Kaisa Jaalama, Hannu Hyyppä

^*Tämän työn vastaava kirjoittaja

Finnish Geospatial Research Institute

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

87 Lataukset (Pure)

Abstrakti

Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.

Alkuperäiskieli	Englanti
Artikkeli	455
Sivumäärä	13
Julkaisu	ISPRS International Journal of Geo-Information
Vuosikerta	9
Numero	7
DOI - pysyväislinkit	https://doi.org/10.3390/ijgi9070455
Tila	Julkaistu - heinäk. 2020
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Pääsy asiakirjaan

10.3390/ijgi9070455Lisenssi: CC BY

ijgi-09-00455Final published version, 2,06 MBLisenssi: CC BY

Muut tiedostot ja linkit

Link to publication in Scopus

Osaamispohjainen kasvu 3D-digitalisaation, robotiikan, paikkatiedon ja kuvankäsittelyn sekä -laskennan yhdistetyssä teknologiamurroksessa
Hyyppä, H. (Vastuullinen tutkija), Julin, A. (Projektin jäsen), Aho, S. (Projektin jäsen), Ahlavuo, M. (Projektin jäsen), Ingman, M. (Projektin jäsen), Kurkela, M. (Projektin jäsen), Siirala, H. (Projektin jäsen), Luhtala, L. (Projektin jäsen), Maksimainen, M. (Projektin jäsen), Gullmets, H. (Projektin jäsen), Nuikka, M. (Projektin jäsen), Sarlin, M. (Projektin jäsen), Handolin, H. (Projektin jäsen), Jaalama, K. (Projektin jäsen), El-Mahgary, S. (Projektin jäsen) & Vaaja, M. T. (Projektin jäsen)
01/01/2018 → 31/07/2021
Projekti: Academy of Finland: Strategic 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. (Projektin jäsen), Ahlavuo, M. (Projektin jäsen), Vaaja, M. T. (Projektin jäsen), Laitala, A. (Projektin jäsen), Julin, A. (Projektin jäsen), Hyyppä, H. (Vastuullinen tutkija), Maksimainen, M. (Projektin jäsen), Lehtola, V. (Projektin jäsen), Ståhle, P. (Projektin jäsen), Haggren, H. (Projektin jäsen), Rantanen, T. (Projektin jäsen), Gullmets, H. (Projektin jäsen), Kauhanen, H. (Projektin jäsen), Jaalama, K. (Projektin jäsen), Ingman, M. (Projektin jäsen), Karvonen, S.-P. (Projektin jäsen), Kurkela, M. (Projektin jäsen), Luhtala, L. (Projektin jäsen) & Virtanen, J.-P. (Projektin jäsen)
01/05/2015 → 31/12/2017
Projekti: Academy of Finland: Strategic research funding
CoE - LaSR: Laserkeilauksen huippuyksikkö
Nieminen, J. (Projektin jäsen), Vaaja, M. T. (Projektin jäsen), Laitala, A. (Projektin jäsen), Julin, A. (Projektin jäsen), Maksimainen, M. (Projektin jäsen), Hyyppä, H. (Vastuullinen tutkija), Rönnholm, P. (Projektin jäsen), Junttila, S. (Projektin jäsen), Puustinen, T. (Projektin jäsen), Haggren, H. (Projektin jäsen), Ala-Ketola, M. (Projektin jäsen), Lehtola, V. (Projektin jäsen), Aho, S. (Projektin jäsen), Ståhle, P. (Projektin jäsen), Kasvi, E. (Projektin jäsen), Kurkela, M. (Projektin jäsen), Ingman, M. (Projektin jäsen), Rantanen, T. (Projektin jäsen), Torkkel, A. (Projektin jäsen), Jaalama, K. (Projektin jäsen), Talvela, J. (Projektin jäsen), Handolin, H. (Projektin jäsen), Ahlavuo, M. (Projektin jäsen), El-Mahgary, S. (Projektin jäsen), Viitanen, K. (Projektin jäsen) & Virtanen, J.-P. (Projektin jäsen)
01/01/2014 → 31/12/2019
Projekti: Academy of Finland: Other research funding

3D-studio (i3)
Kurkela, M. (Manager)
Rakennetun ympäristön laitos
Laitteistot/tilat: Facility
i3 – Industry Innovation Infrastructure
Sainio, P. (Manager)
Insinööritieteiden korkeakoulu
Laitteistot/tilat: Facility

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Maksimainen, M., Vaaja, M. T., Kurkela, M., Virtanen, J.-P., Julin, A., Jaalama, K., & Hyyppä, H. (2020). Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment. ISPRS International Journal of Geo-Information, 9(7), Artikkeli 455. https://doi.org/10.3390/ijgi9070455

@article{64e8487b011f40cf81e59c180a7ac514,

title = "Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment",

abstract = "Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.",

keywords = "mobile mapping system, luminance measurement, road lighting, roadside vegetation, POINT CLOUDS, STREET TREES, URBAN TREES, TERRESTRIAL, VEGETATION, AIRBORNE, SAFETY",

author = "Mikko Maksimainen and Vaaja, {Matti T.} and Matti Kurkela and Juho-Pekka Virtanen and Arttu Julin and Kaisa Jaalama and Hannu Hyypp{\"a}",

year = "2020",

month = jul,

doi = "10.3390/ijgi9070455",

language = "English",

volume = "9",

journal = "ISPRS International Journal of Geo-Information",

issn = "2220-9964",

publisher = "MDPI AG",

number = "7",

}

Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment. / Maksimainen, Mikko; Vaaja, Matti T.; Kurkela, Matti et al.
julkaisussa: ISPRS International Journal of Geo-Information, Vuosikerta 9, Nro 7, 455, 07.2020.

Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

TY - JOUR

T1 - Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment

AU - Maksimainen, Mikko

AU - Vaaja, Matti T.

AU - Kurkela, Matti

AU - Virtanen, Juho-Pekka

AU - Julin, Arttu

AU - Jaalama, Kaisa

AU - Hyyppä, Hannu

PY - 2020/7

Y1 - 2020/7

N2 - Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.

AB - Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.

KW - mobile mapping system

KW - luminance measurement

KW - road lighting

KW - roadside vegetation

KW - POINT CLOUDS

KW - STREET TREES

KW - URBAN TREES

KW - TERRESTRIAL

KW - VEGETATION

KW - AIRBORNE

KW - SAFETY

UR - http://www.scopus.com/inward/record.url?scp=85089889836&partnerID=8YFLogxK

U2 - 10.3390/ijgi9070455

DO - 10.3390/ijgi9070455

M3 - Article

SN - 2220-9964

VL - 9

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

IS - 7

M1 - 455

ER -

Nighttime Mobile Laser Scanning and 3D Luminance Measurement : Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment

Abstrakti

Pääsy asiakirjaan

Muut tiedostot ja linkit

Sormenjälki

Projektit

Osaamispohjainen kasvu 3D-digitalisaation, robotiikan, paikkatiedon ja kuvankäsittelyn sekä -laskennan yhdistetyssä teknologiamurroksessa

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

Laitteet

3D-studio (i3)

i3 – Industry Innovation Infrastructure

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