Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images Saleh, Khaled, Hossny, Mohammed, Hossny, Ahmed and Nahavandi, Saeid 2018, Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images, in IEEE ITSC 2017 : 20th International Conference on Intelligent Transportation Systems : Mielparque Yokohama in Yokohama, Kanagawa, Japan, October 16-19, 2017, IEEE, Piscataway, N.J., pp. 1-6, doi: 10.1109/ITSC.2017.8317599. Attached Files Name Description MIMEType Size Downloads Title Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images Author(s) Saleh, Khaled Hossny, Mohammed orcid.org/0000-0002-1593-6296 Hossny, Ahmed Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Conference name IEEE Conference on Intelligent Transportation Systems (20th : 2017 : Yokohama-shi, Japan) Conference location Yokohama-shi, Japan Conference dates 2017/10/16 - 2017/10/19 Title of proceedings IEEE ITSC 2017 : 20th International Conference on Intelligent Transportation Systems : Mielparque Yokohama in Yokohama, Kanagawa, Japan, October 16-19, 2017 Publication date 2018 Start page 1 End page 6 Total pages 6 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Transportation Science & Technology Computer Science Engineering Transportation ISBN 9781538615256 Language eng DOI 10.1109/ITSC.2017.8317599 Field of Research 080106 Image Processing Socio Economic Objective 880109 Road Safety HERDC Research category E1 Full written paper - refereed Copyright notice ©2017, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30111919 Document type: Conference Paper Collections: Institute for Frontier Materials 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 Sun, 29 Jul 2018, 14:08:36 EST Mon, 30 Jul 2018, 05:00:15 EST Mon, 30 Jul 2018, 08:15:12 EST Mon, 30 Jul 2018, 11:17:37 EST Mon, 30 Jul 2018, 15:57:50 EST Wed, 08 Aug 2018, 14:56:11 EST Wed, 08 Aug 2018, 14:58:08 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 15 times in Scopus Search Google Scholar Access Statistics: 285 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 30 Jul 2018, 11:17:37 EST

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