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Tracking of People in Paper Mill Warehouse Using Laser Range Sensor
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-5863-0748
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
2014 (English)In: UKSim-AMSS Eighth European Modelling Symposium on Computer Modelling and Simulation, EMS 2014 / [ed] David Al-Dabass, Valentina Colla, Marco Vannucci & Athanasios Pantelous, Los Alamitos, CA: IEEE Computer Society, 2014, p. 52-57, article id 7153974Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a laser scanner based approach for simultaneous detection and tracking of people in an indoor environment is presented. The operation of an autonomous truck, for transporting paper reels in a dynamic environment shared with humans, is considered as the application setting for this work. Here, a human leg detection procedure and an Extended Kalman Filter (EKF) based tracking method are employed for real-time performance. Several experiments with different data sets collected from an autonomous forklift truck in a paper mill warehouse have been performed in an offline situation. The results show how the system is able to detect and track multiple moving people. ©2014 IEEE.

Place, publisher, year, edition, pages
Los Alamitos, CA: IEEE Computer Society, 2014. p. 52-57, article id 7153974
Keywords [en]
human detection, tracking, extended kalman filter, autonomous vehicles, load handling, intelligent systems
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-27116DOI: 10.1109/EMS.2014.39ISI: 000411856100008Scopus ID: 2-s2.0-84988301805ISBN: 978-1-4799-7412-2 (electronic)ISBN: 978-1-4799-7413-9 (print)OAI: oai:DiVA.org:hh-27116DiVA, id: diva2:765936
Conference
2014 UKSim-AMSS 8th European Modelling Symposium, EMS 2014, Pisa, Italy, 21-23 October, 2014
Funder
Knowledge FoundationAvailable from: 2014-11-25 Created: 2014-11-25 Last updated: 2021-05-19Bibliographically approved

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Nemati, HassanÅstrand, Björn

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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