High Dynamic Range Imaging Luminance Measuring Device  (Hdr-Ilmd) and Applications in Motion

Boucher, Vincent; Dumont, Éric; Dronneau, Romain; Fournela, Fabrice; Greffier, Florian

doi:10.25039/x44.2017.po35

Cited by 4 publications

(5 citation statements)

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“…They are adapted to the diagnostic on carriageways over a large territory. The Cerema has developed since several years different ILMD (Greffier, 2015); (Boucher, 2017) that allow dynamic luminance measurements to be made.…”

Section: Figure 1 -Measurement Grid Points In Road Lightingmentioning

confidence: 99%

“…An imaging system with a dynamic range comparable to the human eye able to measure luminance in motion has been developed by Cerema (Boucher, 2017). This High Dynamic Range (HDR) Imaging Luminance Measuring Device (ILMD) is based on four synchronous cameras ( Figure 2).…”

Section: Presentation Of Hdr-ilmd Developed By Ceremamentioning

confidence: 99%

“…From these luminance values, classic average luminance, classic overall uniformity and classic longitudinal uniformity can be then calculated. Use of an HDR-ILMD also allows doing threshold increment measurements directly from luminance images (Boucher, 2017).…”

Section: Figure 3 -Measurement Grid Points Positioning (Left) and Lummentioning

confidence: 99%

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Use of an Imaging Luminance Measuring Device to Evaluate Road Lighting Performance at Different Angles of Observation

Greffier¹,

Muzet

Boucher³

et al. 2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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In this paper, we present a new approach to evaluate the performance of road and tunnel lighting based on luminance measurements. Combined with the abilities of an ILMD used in a moving vehicle, our proposal allows us to focus on other angles of observation of road more suitable for urban driving. Our first results show that changing angle of observation has an influence on average luminance of road surface and on associated uniformities.

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Section: Figure 1 -Measurement Grid Points In Road Lightingmentioning

confidence: 99%

Section: Presentation Of Hdr-ilmd Developed By Ceremamentioning

confidence: 99%

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Use of an Imaging Luminance Measuring Device to Evaluate Road Lighting Performance at Different Angles of Observation

Greffier¹,

Muzet

Boucher³

et al. 2019

PROCEEDINGS OF the 29th Quadrennial Session of the CIE

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“…For the study of spatial heterogeneity, calculations from the COLUROUTE measurements were compared with average luminance and uniformities obtained from the luminance measurements. For on-site luminance measurements, Cerema has developed an automatic mobile system for measuring road lighting performance [28,46,47]. This device called CYCLOPE is an ILMD installed in a vehicle at a height of 1.5 m to comply with the standard.…”

Section: On-site Luminance Measurementmentioning

confidence: 99%

Influence of Pavement Heterogeneity and Observation Angle on Lighting Design: Study with New Metrics

et al. 2021

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Optimization of lighting installations should be a priority in order to reduce energy consumption and obtrusive light while providing optimal visibility conditions for road users. For the design of lighting installations, it is assumed that the road has homogeneous photometric characteristics and only one viewing angle is used. There are often significant differences between the design of lighting installations and their actual performance. In order to examine whether these differences are due to the photometry of the road, this study proposes metrics to assess the influence of road heterogeneity and observation angle. These metrics have been used on many measurements conducted on site and in the laboratory for different pavements. A calculation engine has been developed to realize road lighting design with several r-tables in the same calculation or for different observation angles. Thus, this study shows that a root mean squared deviation (RMSD) calculation, including average luminance and uniformities associated with different r-tables, is directly correlated to a normalized root mean squared deviation (NRMSD) calculation between these r-tables. With these proposed metrics it is possible to optimize lighting installation while taking into account different types of urban surfaces and the diversity of users.

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“…12,[20][21][22][23][24] These instruments currently measure a limited number of geometries and retrieve complete r-tables according to interpolations, extrapolations or database comparisons. [20][21][22][23][25][26][27] Thanks to recent imaging luminance measurement devices (ILMD) 26,[28][29][30][31] and lighting software, 3,4 it is also possible to compare simulated versus measured photometric parameters and luminance maps with a feedback loop to aim for the right model. 32,33 An original method has also been carried out by Buschmann et al 34 using a dedicated on-site illumination set-up.…”

Section: Introductionmentioning

confidence: 99%

Space of basis functions to retrieve road surface reflection tables from luminance maps

Boucher

Greffier

2022

Lighting Research & Technology

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Road surface reflection tables ( r-tables) relate scene illuminance to luminance seen by a car driver. They are important for many road lighting tasks accounting for road optical properties, such as new illumination design, new pavement texture or lighting design software, to reduce energy consumption without losses on safety and visibility. This paper aims first at finding a space of basis functions to describe r-tables. From a database of 34 r-tables covering a large variety of pavements, a principal component analysis allows to construct a 33-dimensional space, basis for r-table representations. From that statistical model, a method is exposed to retrieve r-table from a luminance map. The estimated r-table is then used to calculate a reconstructed luminance map. Road lighting quality criteria are also derived and they demonstrate the relevancy of the estimated r-table. Finally the model is tested with noisy input data and it remains stable and reliable, making it applicable with experimental luminance maps.

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High Dynamic Range Imaging Luminance Measuring Device (Hdr-Ilmd) and Applications in Motion

Cited by 4 publications

References 0 publications

Use of an Imaging Luminance Measuring Device to Evaluate Road Lighting Performance at Different Angles of Observation

Use of an Imaging Luminance Measuring Device to Evaluate Road Lighting Performance at Different Angles of Observation

Influence of Pavement Heterogeneity and Observation Angle on Lighting Design: Study with New Metrics

Space of basis functions to retrieve road surface reflection tables from luminance maps

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