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Lindgren, M., Nord, S. & Spetz, J. (2019). CHARACTERIZATION OF REFLECTIVITY AND GEOMETRY FOR SOFT CAR TARGETS. In: Proceedings of the 29th Session of the CIE: . Paper presented at CIE 2019 (pp. 1753-1767). Wien, 1, Article ID PO181.
Open this publication in new window or tab >>CHARACTERIZATION OF REFLECTIVITY AND GEOMETRY FOR SOFT CAR TARGETS
2019 (English)In: Proceedings of the 29th Session of the CIE, Wien, 2019, Vol. 1, p. 1753-1767, article id PO181Conference paper, Published paper (Other academic)
Abstract [en]

This paper reports on results from a study of characteristics for 3D soft surrogate vehicle targets. Such targets are used extensively for testing and verification of optical sensor systems for Advanced Driver Assistance Systems and Automated Driving. However, the influence of wear-and-tear on the vehicle target is not well known. Consequently, no clear requirement exists on how many collisions a soft target can be exposed to before it no longer performs well.

Important characteristics for optical sensor systems are surface reflectance in the relevant wavelength range and geometry of the soft target. We report on measurements of spectral reflectivity and geometry performed before, during and after an accelerated ageing campaign involving 100 rear-end collisions at 50 km/h. The reflectivity was found to change very little while the geometry was strongly affected.

Place, publisher, year, edition, pages
Wien: , 2019
Keywords
ADAS, AD, 3D soft vehicle target, spectral reflectivity, laser scanning, geometry
National Category
Other Physics Topics
Identifiers
urn:nbn:se:ri:diva-39257 (URN)978-3-902842-74-9 (ISBN)
Conference
CIE 2019
Funder
Vinnova, 2016-02496
Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-07-02Bibliographically approved
Gidlund, H., Lindgren, M., Muzet, V., Rossi, G. & Iacomussi, P. (2019). Road surface photometric characterisation and its impact on energy savings. Coatings, 9(5), Article ID 286.
Open this publication in new window or tab >>Road surface photometric characterisation and its impact on energy savings
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2019 (English)In: Coatings, ISSN 2079-6412, Vol. 9, no 5, article id 286Article in journal (Refereed) Published
Abstract [en]

How road surfaces reflect light in space is a physical characteristic that plays a key role in the design of road lighting installations: by European Standards the average luminance is the target quantity to assure the required safety conditions of the motorized road traffic. Lighting systems are designed (luminous flux installed per kilometre) to comply with the above requirement, starting from reference values of road surfaces reflection published in an old scientific document. These data are obsolete and not representative of current road surfaces, but they are still used to design current LED lighting systems. European Community funded a SURFACE project to provide to EU standard organization new traceable reference data, representative of current road surfaces used in EU. The paper presents the data collections and the impact on road lighting of using available old reference data versus SURFACE collected data of current road surfaces. Results highlight advantages in using bright pavements as well the need for introducing systems for flux control in road lighting installation to compensate for the discrepancies between current reference data and actual road surface data.

Place, publisher, year, edition, pages
MDPI AG, 2019
Keywords
EMPIR, Energy savings, EURAMET, Luminance coefficient q, Road lighting, Road surface, Road users safety, Surface 16NRM02 project
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-38896 (URN)10.3390/coatings9050286 (DOI)2-s2.0-85065784154 (Scopus ID)
Note

Export Date: 28 May 2019; Article; Correspondence Address: Iacomussi, P.; Istituto Nazionale di Ricerca Metrologica (INRIM)Italy; email: p.iacomussi@inrim.it

Available from: 2019-06-03 Created: 2019-06-03 Last updated: 2019-06-03Bibliographically approved
Lindgren, M. & Nord, S. (2018). Characterization of visual and IR reflectivity for soft car targets. In: : . Paper presented at Northern Optics & Photonics 2018.
Open this publication in new window or tab >>Characterization of visual and IR reflectivity for soft car targets
2018 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) vehicles rely heavily on optical sensors. Extensive testing of optical sensors is required and typically performed at test tracks like AstaZero. Soft surrogate targets are used for safety reasons, but the optical characteristics of surrogate targets may differ considerably from that of real vehicles. During tests the quality of the soft surrogate targets deteriorates due to repeated impacts and reassembly of the targets, and there is a need for methods to secure the quality of the soft surrogate targets over time.

RISE has conducted a project together with Volvo Cars and Veoneer to develop and validate accurate and repeatable measurement methods of the optical characteristics of 3D soft car targets. The goal is to support international standardisation (ISO) with standard methods enabling future verification and calibration of optical characteristics of active safety 3D soft car targets.

The poster presents results from optical measurements on soft car targets and real cars, performed in the project. One target was subjected to 100 rear-end collisions during which the reflectivity was measured.

Keywords
AD, ADAS, soft car target, reflectivity
National Category
Condensed Matter Physics
Identifiers
urn:nbn:se:ri:diva-36084 (URN)
Conference
Northern Optics & Photonics 2018
Note

FFI Strategic Vehicle Research and Innovation

Available from: 2018-11-09 Created: 2018-11-09 Last updated: 2018-11-12Bibliographically approved
Nord, S. & Lindgren, M. (2017). HiFi Visual Target - Methods for Measuring Optical and Geometrical Characteristics of Soft Car Targets for ADAS and AD. In: Gereon Meyer (Ed.), Lecture Notes in Mobility: Smart Systems Transforming the Automobile. Paper presented at Advanced Microsystems for Automotive Applications 2017 (pp. 201-209). Berlin: Springer
Open this publication in new window or tab >>HiFi Visual Target - Methods for Measuring Optical and Geometrical Characteristics of Soft Car Targets for ADAS and AD
2017 (English)In: Lecture Notes in Mobility: Smart Systems Transforming the Automobile / [ed] Gereon Meyer, Berlin: Springer, 2017, p. 201-209Conference paper, Published paper (Other academic)
Abstract [en]

Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD)vehicles rely on a variety of sensors and among them optical sensors. Extensivetesting of functions using optical sensors is required and typically performedat proving grounds like AstaZero. Soft surrogate targets are used for safetyreasons but the optical and geometrical characteristics of soft car targets maydiffer considerably from that of real vehicles. During tests the quality of thesoft car targets deteriorates due to repeated impacts and reassembly of thetargets, and there is a need of methods for securing the quality of the softcar targets over time. One of the main goals of the HiFi Visual Target project isto develop and validate accurate and repeatable measurement methods of theoptical and geometric characteristics of soft car targets.

Place, publisher, year, edition, pages
Berlin: Springer, 2017
Series
Leture Notes in Mobility, ISSN 2196-5544
Keywords
Advanced Driver Assistance Systems, Automated Driving, Active Safety, EuroNCAP, Vision Zero, soft car target, optical sensors, measurement technology, spectroradiometer, spectral reflectance, geometrical scan
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-32411 (URN)10.1007/978-3-319-66972-4_17 (DOI)978-3-319-66971-7 (ISBN)978-3-319-66972-4 (ISBN)
Conference
Advanced Microsystems for Automotive Applications 2017
Projects
HiFi Visual Target
Funder
Vinnova, 2016-02496
Available from: 2017-10-31 Created: 2017-10-31 Last updated: 2020-01-31Bibliographically approved
Iacomussi, P., Rossi, G., Blatter, P., Reber, J., Chain, C., Muzet, V., . . . Zehntner, P. (2017). Metrology of Road Surface for Smart Lighting. In: Matej B. Kobav, University of Ljubljana, Slovenia (Ed.), PROCEEDINGSOF THE LUX EUROPA 2017 European Lighting Conference: Lighting for modern society. Paper presented at Lux Europa 2017 Conference Lighting for modern society Hotel Union, Ljubljana, Slovenia 18‐20 September, 2017 (pp. 103-107). Ljubljana, Article ID OM17.
Open this publication in new window or tab >>Metrology of Road Surface for Smart Lighting
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2017 (English)In: PROCEEDINGSOF THE LUX EUROPA 2017 European Lighting Conference: Lighting for modern society / [ed] Matej B. Kobav, University of Ljubljana, Slovenia, Ljubljana, 2017, p. 103-107, article id OM17Conference paper, Published paper (Refereed)
Abstract [en]

The knowledge of the luminance coefficient q or of the reduced luminance coefficient r of road surface is an unavoidable requirement for designing road lighting installations able to assure adequate road luminance for visual conditions, energy consumption and traffic safety according to standard requirements. Unfortunately q available data refers to measurements made during the seventies with no traceability or measurement uncertainty. In the last 40 years the road surfaces pavements evolved as well the road lighting sources and luminaires. EMPIR project SURFACE will provide validated, optimised and reliable geometrical conditions for the measurement of q as well as reference data representative of current road pavements and future needs, as support of the European Standardisation process, CIE and European Metrology infrastructure.

Place, publisher, year, edition, pages
Ljubljana: , 2017
Keywords
EMPIR SURFACE project, EURAMET, Road lighting design, Road luminance coefficient, Smart lighting
National Category
Other Physics Topics
Identifiers
urn:nbn:se:ri:diva-32850 (URN)978-961-93733-4-7 (ISBN)
Conference
Lux Europa 2017 Conference Lighting for modern society Hotel Union, Ljubljana, Slovenia 18‐20 September, 2017
Projects
EMPIR 16NRM02 Surface, Pavement surface characterisation for smart and efficient road
Funder
EU, FP7, Seventh Framework Programme
Available from: 2017-12-11 Created: 2017-12-11 Last updated: 2018-12-19Bibliographically approved
Källberg, S. & Lindgren, M. (2013). Artificiell optisk strålning i svensk industri (ed.). Paper presented at .
Open this publication in new window or tab >>Artificiell optisk strålning i svensk industri
2013 (Swedish)Report (Refereed)
Publisher
p. 58
Series
SP Rapport, ISSN 0284-5172 ; 2013:36
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-5119 (URN)15212 (Local ID)978-91-87461-30-9 (ISBN)15212 (Archive number)15212 (OAI)
Note

Ej beställningsbar som upptryckt rapport, endast nerladdningsbar som PDF

Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2018-08-22Bibliographically approved
Kharezy, M. & Lindgren, M. (1981). Fiberoptic sensors for high-voltage applications (ed.). Paper presented at .
Open this publication in new window or tab >>Fiberoptic sensors for high-voltage applications
1981 (English)Report (Refereed)
Abstract [en]

SP has experience in the field of fiberoptic communication and expertise in research in the field. Also, SP has expertise in the high-voltage field and there is currently a large interest in developing the high-voltage network in order to accommodate new small producers of electric power (wind mills, solar power, etc.) In this report we describe efforts to find areas of interest to develop fiberoptic sensors for offshore monitoring of high-voltage equipment. A large number of research papers and review articles have been collected and reviewed in order to investigate what possibilities are at hand for SP to provide support for development of new or existing fiberoptic sensor technologies.

Publisher
p. 40
Series
SP Rapport, ISSN 0284-5172
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-3978 (URN)20451 (Local ID)20451 (Archive number)20451 (OAI)
Available from: 2016-09-07 Created: 2016-09-07 Last updated: 2018-08-22Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2387-1824

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