oru.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
A Standard for Map Data Representation: IEEE 1873-2015 Facilitates Interoperability Between Robots
Politecnico di Milano, Milan, Italy.ORCID iD: 0000-0001-8146-6213
Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea.ORCID iD: 0000-0001-5729-7931
University of Klagenfurt, Klagenfurt, Austria.
University of Bonn, Bonn, Germany.
Show others and affiliations
2018 (English)In: IEEE robotics & automation magazine, ISSN 1070-9932, E-ISSN 1558-223X, Vol. 25, no 1, p. 65-76Article in journal (Refereed) Published
Abstract [en]

The availability of environment maps for autonomous robots enables them to complete several tasks. A new IEEE standard, IEEE 1873-2015, Robot Map Data Representation for Navigation (MDR) [15], sponsored by the IEEE Robotics and Automation Society (RAS) and approved by the IEEE Standards Association Standards Board in September 2015, defines a common representation for two-dimensional (2-D) robot maps and is intended to facilitate interoperability among navigating robots. The standard defines an extensible markup language (XML) data format for exchanging maps between different systems. This article illustrates how metric maps, topological maps, and their combinations can be represented according to the standard.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. 25, no 1, p. 65-76
Keywords [en]
Standards, Service robots, XML, Data models, Interoperability, Measurement
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-64331DOI: 10.1109/MRA.2017.2746179ISI: 000427426900012Scopus ID: 2-s2.0-85040906777OAI: oai:DiVA.org:oru-64331DiVA, id: diva2:1174906
Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-08-30Bibliographically approved

Open Access in DiVA

IEEE 1873-2015: A Standard for Map Data Representation(551 kB)93 downloads
File information
File name FULLTEXT02.pdfFile size 551 kBChecksum SHA-512
30094e71d70d84073f74657f3441e7a81997294359b6745c192708f3ad8456fb7e9dd94add1a95e193ec800a41aad0f5e7b362dca7cd9784ffc1df28f88ed842
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records BETA

Magnusson, Martin

Search in DiVA

By author/editor
Amigoni, FrancescoYu, WonpilMagnusson, Martin
By organisation
School of Science and Technology
In the same journal
IEEE robotics & automation magazine
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 96 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: 1490 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