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Behaviour modelling of vehicles at a Roundabout
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis concentrates on the motion prediction of the agents utilizing the behaviour model. In an autonomous environment, the agents need to beaware of other agents’ position and actions to minimize the use of emergency braking, thereby reducing collisions and damages. The data isused to forecast agents’ position in the environment and classify agents’ exits utilizing a variation of Recurrent Neural Network(RNN), namely, Long Short-Term Memory (LSTM) to determine the specific behaviour model. Additionally, the network performance is compared with other RNN architecture such as the Bi-LSTM and Bi-LSTM + LSTM stacked architecture to evaluate which model has the best performance. The results achieved in this thesis are comparable to prior literature. They have shown improvement in some aspects of modelling behaviour at a roundabout using data acquired from an infrastructure-based LiDAR sensor.

Place, publisher, year, edition, pages
2020.
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:hh:diva-41649OAI: oai:DiVA.org:hh-41649DiVA, id: diva2:1393243
Subject / course
Computer science and engineering
Educational program
Master's Programme in Embedded and Intelligent Systems, 120 credits
Presentation
2020-02-03, Halmstad University, Halmstad, 15:23 (English)
Supervisors
Examiners
Available from: 2020-02-17 Created: 2020-02-14 Last updated: 2020-02-17Bibliographically approved

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fulltext(2659 kB)19 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf