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.

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Title Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images
Author(s) Saleh, Khaled
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Hossny, Ahmed
Nahavandi, SaeidORCID iD for 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
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