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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
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. (2018). D6.17 Communication and Dissemination Plan M3-M12: Project: PRoPART.
Open this publication in new window or tab >>D6.17 Communication and Dissemination Plan M3-M12: Project: PRoPART
2018 (English)Report (Other academic)
Abstract [en]

The objective of PRoPART is the development and demonstration of a high availability positioning solution for connected automated driving applications. It aims to develop and enhance an existing RTK (Real Time Kinematic) software solution developed by Waysure, by exploiting the distinguished features of Galileo signals as well as combining it with other positioning and sensor technologies. Besides the use of vehicle on board sensors, PRoPART will also use a low-cost Ultra Wideband (UWB) ranging solution for redundancy and robustness in areas where the coverage of GNSS is poor e.g. in tunnels or in urban canyons. In order to define the correct requirements for the PRoPART combined positioning solution, a cooperative automated vehicle application will be defined and developed. The vehicle application will rely on the high availability positioning solution and use it to couple its ADAS system with V2X and aggregate information received from other connected vehicles and Road Side Units (RSU).

The main objective of WP6 Task T6.2 and Task T6.3

is to spread PRoPART results among the main target groups identified during the development of the business plan studies. PRoPART dissemination activities aim to raise awareness about its real added value in technical terms.

Specific objectives:

  • Definition of an agile communication strategy to be adapted to the different target groups and messages.
  • Preparation of the corporative image and a set of materials for the promotion and comprehensive dissemination.
  • Monitoring and execution of the communication plan with a continuous penetration in the main target groups with tailored messages.

Referring to the above mentioned aims PRoPART’s Communication and Dissemination plan addresses the following key issues: identification of stakeholders and project’s key impact fields; specific dissemination tools (logo, website, publications, conferences, events, press media, leaflets and posters, videos, cooperation with other projects, social networking, etc.). Finally, it will focus on the most relevant procedures related to communication and dissemination activities

Publisher
p. 22
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-35240 (URN)
Note

"This project has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776307".

Available from: 2018-10-05 Created: 2018-10-05 Last updated: 2019-05-22Bibliographically approved
Nord, S. (2018). D6.18 Communication and Dissemination Plan M13-M24 : project PRoPART.
Open this publication in new window or tab >>D6.18 Communication and Dissemination Plan M13-M24 : project PRoPART
2018 (English)Report (Other academic)
Publisher
p. 22
Series
PRoPART Consortium ; D6:18
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-38871 (URN)
Note

This project has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776307".

Available from: 2019-05-22 Created: 2019-05-22 Last updated: 2019-05-22Bibliographically approved
Nord, S. (2018). D6.2 Project Website: Project: PRoPART.
Open this publication in new window or tab >>D6.2 Project Website: Project: PRoPART
2018 (English)Report (Other academic)
Abstract [en]

The PRoPART public website has been implemented in month 3 of the project, and will be maintained over the lifetime of the project. The internet portal works as communication platform to assist the coordination of the project and its activities.

An individual domain has been acquired to host the website. The link to this PRoPART website is:

http://www.propart-project.eu/

Within the design phase of the website, perspectives from both specialized and non-specialized visitors have been considered in order to develop the interface.

The website will be the main communication tool for the project, where all the publicly available dissemination materials will be published in a timely manner. The website is an interactive environment that will give access to all the publishable development of PRoPART. It will give a very direct link to the main results and to the hottest project news.

Besides, this website gives a link to the objectives, partnership, activities and events related with the project, and it is planned to give access to all the aspects regarding the new technologies, best practices and recommendations for robust positioning for automated vehicles gathered from the project development. Contributions from the partners will be highly important to maintain the project’s website updated, in order to improve the website positioning in search engines and to reflect an active attitude to Internet users. In addition, partners are asked to link their website and platforms to the website of PRoPART project. In this sense, a SEO positioning analysis will be performed to ensure higher visibility in web search engines.

The following points describe the different sections

and functionalities of the website, supported by screenshots to better understand its use.

Publisher
p. 11
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-35239 (URN)
Note

This project has received funding from the European GNSS Agency under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 776307".

Available from: 2018-10-05 Created: 2018-10-05 Last updated: 2018-10-05Bibliographically approved
Nord, S. (2018). HiFi Visual Target - D5.2 Final Report. Borås
Open this publication in new window or tab >>HiFi Visual Target - D5.2 Final Report
2018 (English)Report (Other academic)
Abstract [en]

Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) vehicles rely heavily on sensors for achieving their goal of protecting the driver and passengers from potentially dangerous situations. Optical sensors are used to measure locations and velocities of objects at distances of up to 150 meters. Optical sensors could be cameras (for visible light or IR) used to detect either objects or road features (like e.g. road edges and markings). They are a common choice for high-end ADAS and are found in sensor sets of most AD vehicles.

To ensure reliable performance of object detection, extensive testing of optical sensors is required. In vehicle testing performed at test tracks like AstaZero, 3D soft car targets are used for safety reasons. However, due to non-perfect shape and materials, the optical characteristics of 3D soft car targets may differ considerably from that of real vehicles in traffic, resulting in different detection performance, and hence different activation of the functions. Moreover, during tests the quality of the 3D soft car targets deteriorates due to repeated impacts and reassembly of the targets, which implies that there is a need of methods for securing the quality of the 3D soft car targets over time.

By addressing these challenges, the goal of the project has been to contribute to improved testing methods of optical and geometrical characteristics of 3D soft car targets by:

  • developing measurement methods and specifying measurement setups for the optical and geometrical characteristics of 3D soft car targets;
  • developing simplified measurement methods for quality check on 3D soft car targets to secure the quality over time;
  • providing input to international standardization regarding methods for measurement of optical and geometrical characteristics of real and soft car targets.

The results include test of different measurement methods, different 3D soft car targets as well as real vehicles and also an accelerated ageing test of a 3D soft car target from DRi.

Place, publisher, year, edition, pages
Borås: , 2018
Series
FFI Fordonsstrategisk forskning och innovation
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-35230 (URN)
Funder
VINNOVA, 2016-02496
Available from: 2018-10-01 Created: 2018-10-01 Last updated: 2018-10-03Bibliographically 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
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2398-508x

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