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Probabilistic semantic mapping with a virtual sensor for building/nature detection
Örebro University, Department of Technology. (AASS)
Department of Computing and Informatics, University of Lincoln, Lincoln, United Kingdom. (Department of Computing and Informatics)
Department of Technology, Örebro University, Örebro, Sweden. (AASS)
Örebro University, Department of Technology. (AASS)ORCID iD: 0000-0003-0217-9326
2007 (English)In: Proceedings of the 2007 IEEE International symposium on computational intelligence in robotics and automation, CIRA 2007, New York, NY, USA: IEEE, 2007, p. 236-242, article id 4269870Conference paper, Published paper (Refereed)
Abstract [en]

In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We believe that access to semantic maps will make it possible for robots to better communicate information to a human operator and vice versa. The main contribution of this paper is a method that fuses data from different sensor modalities, range sensors and vision sensors are considered, to create a probabilistic semantic map of an outdoor environment. The method combines a learned virtual sensor (understood as one or several physical sensors with a dedicated signal processing unit for recognition of real world concepts) for building detection with a standard occupancy map. The virtual sensor is applied on a mobile robot, combining classifications of sub-images from a panoramic view with spatial information (location and orientation of the robot) giving the likely locations of buildings. This information is combined with an occupancy map to calculate a probabilistic semantic map. Our experiments with an outdoor mobile robot show that the method produces semantic maps with correct labeling and an evident distinction between "building" objects from "nature" objects

Place, publisher, year, edition, pages
New York, NY, USA: IEEE, 2007. p. 236-242, article id 4269870
National Category
Engineering and Technology Computer and Information Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-4268DOI: 10.1109/CIRA.2007.382870ISI: 000249266100034Scopus ID: 2-s2.0-34948902289ISBN: 978-1-4244-0789-7 (print)OAI: oai:DiVA.org:oru-4268DiVA, id: diva2:138567
Conference
International symposium on computational intelligence in robotics and automation, CIRA 2007. 20-23 June 2007, Jacksonville, FL, USA
Note

Funding Agency:

Swedish Defence Material Administration

Available from: 2007-12-13 Created: 2007-12-13 Last updated: 2018-06-12Bibliographically approved

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Probabilistic Semantic Mapping with a Virtual Sensor for Building/Nature detection(1697 kB)42 downloads
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Type fulltextMimetype application/pdf

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Publisher's full textScopushttp://aass.oru.se/Research/Learning/publications.html

Authority records BETA

Persson, MartinLilienthal, Achim J.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
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  • Other locale
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Output format
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