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Fast 3D mapping in highly dynamic environments using normal distributions transform occupancy maps
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems ( AASS ))
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems ( AASS ))ORCID iD: 0000-0002-6013-4874
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems ( AASS ))ORCID iD: 0000-0002-2953-1564
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems ( AASS ))ORCID iD: 0000-0003-0217-9326
2013 (English)In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2013, p. 4694-4701Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2013. p. 4694-4701
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-30525DOI: 10.1109/IROS.2013.6697032ISI: 000331367404113Scopus ID: 2-s2.0-84893743808ISBN: 978-1-4673-6358-7 (print)OAI: oai:DiVA.org:oru-30525DiVA, id: diva2:644375
Conference
EEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Note

to appear

Available from: 2013-08-30 Created: 2013-08-30 Last updated: 2018-01-11Bibliographically approved

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Saarinen, JariStoyanov, TodorAndreasson, HenrikLilienthal, Achim J.

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