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Comparing probabilistic models for human motion patterns
Örebro University, School of Science and Technology.
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Recent years more and more works are being automatised or made more efficient with the help of robots. In a world where more and more things are digitalized, robots must be able to work in environments that are populated with people.To be able to adapt to their environment, robots need to learn the flow of traffic. For a robot to do this they can use maps of dynamics (MoD), but today there exists no comparison between current implementations.In this thesis, two MoD’s will be implemented and compared foremost for the ILIAD project but also for everyone that needs it. Along with the implementation and comparison, we will also explain what future work to be done on these two implementations.

Place, publisher, year, edition, pages
2019. , p. 106
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-75937OAI: oai:DiVA.org:oru-75937DiVA, id: diva2:1346615
Subject / course
Computer Engineering
Supervisors
Examiners
Available from: 2019-08-28 Created: 2019-08-28 Last updated: 2019-08-28Bibliographically approved

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CiteExportLink to record
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