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Modelling Motion Patterns with Circular-Linear Flow Field Maps
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0002-9503-0602
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0003-0217-9326
Örebro University, School of Science and Technology. (AASS Mobile Robotics & Olfaction Lab)ORCID iD: 0000-0001-8658-2985
Corporate Research, Robert Bosch GmbH, Renningen, Germany.
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2020 (English)In: Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, Springer, 2020, p. 65-113Chapter in book (Refereed)
Abstract [en]

The shared feature of the flow of discrete objects and continuous media is that they both can be represented as velocity vectors encapsulating direction and speed of motion. In this chapter, we present a method for modelling the flow of discrete objects and continuous media as continuous Gaussian mixture fields. The proposed model associates to each part of the environment a Gaussian mixture model describing the local motion patterns. We also present a learning method, designed to build the model from a set of sparse, noisy and incomplete observations. 

Place, publisher, year, edition, pages
Springer, 2020. p. 65-113
Series
Cognitive Systems Monographs, ISSN 1867-4925 ; 40
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:oru:diva-81664DOI: 10.1007/978-3-030-41808-3_4Scopus ID: 2-s2.0-85084011370ISBN: 978-3-030-41807-6 (print)ISBN: 978-3-030-41808-3 (electronic)OAI: oai:DiVA.org:oru-81664DiVA, id: diva2:1429775
Available from: 2020-05-12 Created: 2020-05-12 Last updated: 2020-05-12Bibliographically approved

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Kucner, Tomasz PiotrLilienthal, AchimMagnusson, MartinSwaminathan, Chittaranjan Srinivas

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Kucner, Tomasz PiotrLilienthal, AchimMagnusson, MartinSwaminathan, Chittaranjan Srinivas
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CiteExportLink to record
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