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Modelling Motion Patterns with Circular-Linear Flow Field Maps
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0002-9503-0602
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0003-0217-9326
Örebro universitet, Institutionen för naturvetenskap och teknik. (AASS Mobile Robotics & Olfaction Lab)ORCID-id: 0000-0001-8658-2985
Corporate Research, Robert Bosch GmbH, Renningen, Germany.
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2020 (engelsk)Inngår i: Probabilistic Mapping of Spatial Motion Patterns for Mobile Robots, Springer, 2020, s. 65-113Kapittel i bok, del av antologi (Fagfellevurdert)
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. 

sted, utgiver, år, opplag, sider
Springer, 2020. s. 65-113
Serie
Cognitive Systems Monographs, ISSN 1867-4925 ; 40
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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 (tryckt)ISBN: 978-3-030-41808-3 (digital)OAI: oai:DiVA.org:oru-81664DiVA, id: diva2:1429775
Tilgjengelig fra: 2020-05-12 Laget: 2020-05-12 Sist oppdatert: 2020-05-12bibliografisk kontrollert

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Kucner, Tomasz PiotrLilienthal, AchimMagnusson, MartinSwaminathan, Chittaranjan Srinivas

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