Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments

Saleh, Khaled, Hossny, Mohammed and Nahavandi, Saeid 2019, Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments, Neurocomputing, pp. 317-324, doi: 10.1016/j.neucom.2019.12.091.

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Title Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments
Author(s) Saleh, Khaled
Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Journal name Neurocomputing
Start page 317
End page 324
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019
ISSN 0925-2312
1872-8286
Keyword(s) Pedestrian
Intent
Autonomous vehicles
Notes Article in Press
Language eng
DOI 10.1016/j.neucom.2019.12.091
Indigenous content off
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:30133710

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