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Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks

Saleh, K, Abobakr, A, Hossny, M, Nahavandi, Darius, Iskander, J, Attia, M and Nahavandi, Saeid 2021, Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks, Neurocomputing, vol. 465, pp. 205-214, doi: 10.1016/j.neucom.2021.09.008.

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Title Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks
Author(s) Saleh, K
Abobakr, A
Hossny, M
Nahavandi, DariusORCID iD for Nahavandi, Darius orcid.org/0000-0002-5007-9584
Iskander, J
Attia, M
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Neurocomputing
Volume number 465
Start page 205
End page 214
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-11-20
ISSN 0925-2312
1872-8286
Keyword(s) cyclist
intent
LiDAR
neural networks
autonomous vehicles
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
RECOGNITION
Language eng
DOI 10.1016/j.neucom.2021.09.008
Field of Research 08 Information and Computing Sciences
09 Engineering
17 Psychology and Cognitive Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30156008

Document type: Journal Article
Collection: Institute for Intelligent Systems Research and Innovation (IISRI)
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