hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Automated Testing of Ultrawideband Positioning for Autonomous Driving
Department of Electronics, RISE Research Institutes of Sweden, Borås, Sweden.ORCID iD: 0000-0003-1713-3726
Department of Electronics, RISE Research Institutes of Sweden, Borås, Sweden.ORCID iD: 0000-0003-0363-1206
Department of Electronics, RISE Research Institutes of Sweden, Borås, Sweden.ORCID iD: 0000-0002-6191-6253
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0002-6526-3931
2020 (English)In: Journal of Robotics, ISSN 1687-9600, E-ISSN 1687-9619, Vol. 2020, article id 9345360Article in journal (Refereed) Published
Abstract [en]

Autonomous vehicles need accurate and dependable positioning, and these systems need to be tested extensively. We have evaluated positioning based on ultrawideband (UWB) ranging with our self-driving model car using a highly automated approach. Random drivable trajectories were generated, while the UWB position was compared against the Real-Time Kinematic Satellite Navigation (RTK-SN) positioning system which our model car also is equipped with. Fault injection was used to study the fault tolerance of the UWB positioning system. Addressed challenges are automatically generating test cases for real-time hardware, restoring the state between tests, and maintaining safety by preventing collisions. We were able to automatically generate and carry out hundreds of experiments on the model car in real time and rerun them consistently with and without fault injection enabled. Thereby, we demonstrate one novel approach to perform automated testing on complex real-time hardware. Copyright © 2020 Benjamin Vedder et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Place, publisher, year, edition, pages
London, UK: Hindawi Publishing Corporation, 2020. Vol. 2020, article id 9345360
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-41406DOI: 10.1155/2020/9345360ISI: 000510880200001Scopus ID: 2-s2.0-85079208712OAI: oai:DiVA.org:hh-41406DiVA, id: diva2:1388667
Funder
Knowledge FoundationVinnova, 776307Available from: 2020-01-27 Created: 2020-01-27 Last updated: 2020-02-18Bibliographically approved

Open Access in DiVA

fulltext(6024 kB)207 downloads
File information
File name FULLTEXT01.pdfFile size 6024 kBChecksum SHA-512
d19cfb9b7fad4beaccb25a9df3ef5f4f9c750f1f442c1d54f0fb1211f7d66c65f995d198f6f75da7a91d1f5b5e00a1c7c047d435b5ac56110c2dc88d7154a31a
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Vedder, BenjaminJonsson, Magnus

Search in DiVA

By author/editor
Vedder, BenjaminSvensson, Bo JoelVinter, JonnyJonsson, Magnus
By organisation
Centre for Research on Embedded Systems (CERES)
In the same journal
Journal of Robotics
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 207 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 199 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf