To Örebro University

oru.seÖrebro University Publications
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
Exploring the Possibility of Semantic Map Data Representation as an Extension of the IEEE 2D and 3D Map Data Representation Standards
Electronics and Telecommunications Research Institute, Daejeon, Korea.ORCID iD: 0000-0001-5729-7931
Politecnico di Milano, Milano, Lombardia, Italy.ORCID iD: 0000-0001-8146-6213
Örebro University, School of Science and Technology. (AASS, MRO)ORCID iD: 0000-0002-9503-0602
Electronics and Telecommunications Research Institute, Daejeon, Korea.
2020 (English)In: 2020 20th International Conference on Control, Automation and Systmes (ICCAS 2020), 2020Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes 2D specifications of the IEEE Map Data Representation (MDR) standard and introduces the ongoing efforts for developing 3D MDR specifications. The 2D MDR standard is well-suited for current robot applications utilizing 2D maps, which may include autonomous road navigation, robotic logistic systems, defense and rescue robots, and service robots for personal or domestic applications. In addition to their original purpose as a common format for representing the spatial environment for robot navigation, the developed MDR standards are expected to contribute to promote development of good experimental methodologies for mobile robotics as a valuable tool for facilitating comparison and evaluation of maps obtained from different systems or methodologies.

Place, publisher, year, edition, pages
2020.
Keywords [en]
Robot navigation, Map data representation, Metric map, Topological map, Semantic map
National Category
Robotics
Identifiers
URN: urn:nbn:se:oru:diva-88272OAI: oai:DiVA.org:oru-88272DiVA, id: diva2:1513920
Conference
20th International Conference on Control, Automation and Systems (Online ICCAS 2020), Busan, Korea, October 13-16, 2020
Available from: 2021-01-03 Created: 2021-01-03 Last updated: 2021-01-19Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Kucner, Tomasz Piotr

Search in DiVA

By author/editor
Yu, WonpilAmigoni, FrancescoKucner, Tomasz Piotr
By organisation
School of Science and Technology
Robotics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 257 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