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Practical Sensing Techniques for Intelligent Vehicles
Mechanical, Materials, Mechatronic and Biomedical Engineering, University of Wollongong, Australia.
Computer Engineering, University of Alcala, Madrid, Spain.
Universidad Carlos III de Madrid, Spain.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-2763-8085
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2019 (English)In: IEEE Intelligent Transportation Systems Magazine, ISSN 1939-1390, Vol. 11, no 2, p. 5-8Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
IEEE, 2019. Vol. 11, no 2, p. 5-8
Keywords [en]
Sensing Techniques, Intelligent Vehicles
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Engineering and Technology
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URN: urn:nbn:se:mau:diva-2688DOI: 10.1109/MITS.2019.2903604Scopus ID: 2-s2.0-85065340479Local ID: 28528OAI: oai:DiVA.org:mau-2688DiVA, id: diva2:1399451
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-06-18Bibliographically approved

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Malekian, Reza

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