Deep imitation learning for autonomous vehicles based on convolutional neural networks Kebria, Parham M., Khosravi, Abbas, Salaken, Syed Moshfeq and Nahavandi, Saeid 2020, Deep imitation learning for autonomous vehicles based on convolutional neural networks, IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 1, pp. 82-95, doi: 10.1109/JAS.2019.1911825. Attached Files Name Description MIMEType Size Downloads Title Deep imitation learning for autonomous vehicles based on convolutional neural networks Author(s) Kebria, Parham M. orcid.org/0000-0001-7049-928X Khosravi, Abbas orcid.org/0000-0001-6927-0744 Salaken, Syed Moshfeq orcid.org/0000-0001-8632-2665 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name IEEE/CAA Journal of Automatica Sinica Volume number 7 Issue number 1 Start page 82 End page 95 Total pages 14 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, N.J. Publication date 2020-01-01 ISSN 2329-9266 2329-9274 Keyword(s) Autonomous vehicles Convolutional neural networks Deep learning Imitation learning Language eng DOI 10.1109/JAS.2019.1911825 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30133789 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Training - Quality check GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 23 Jan 2020, 10:02:07 EST Thu, 23 Jan 2020, 10:04:30 EST Fri, 24 Jan 2020, 04:01:19 EST Fri, 24 Jan 2020, 07:05:53 EST Sat, 08 Feb 2020, 01:30:07 EST Tue, 14 Jul 2020, 06:02:29 EST Thu, 23 Jul 2020, 11:30:49 EST Thu, 23 Jul 2020, 12:14:46 EST Thu, 23 Jul 2020, 12:18:47 EST Thu, 23 Jul 2020, 12:21:56 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 25 times in Scopus Search Google Scholar Access Statistics: 79 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 23 Jan 2020, 10:04:30 EST

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