Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks Saleh, K, Hossny, M and Nahavandi, S 2018, Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks, IEEE Transactions on Intelligent Vehicles, vol. 3, no. 4, pp. 414-424, doi: 10.1109/TIV.2018.2873901. Attached Files Name Description MIMEType Size Downloads Title Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks Author(s) Saleh, K Hossny, M orcid.org/0000-0002-1593-6296 Nahavandi, S orcid.org/0000-0002-0360-5270 Journal name IEEE Transactions on Intelligent Vehicles Volume number 3 Issue number 4 Start page 414 End page 424 Total pages 11 Publisher IEEE Place of publication Piscataway, NJ Publication date 2018-12 ISSN 2379-8858 2379-8858 Keyword(s) Trajectory Predictive models Vehicle dynamics Road traffic Task analysis Recurrent neural networks Cameras Autonomous vehicles Intent prediction pedestrian path prediction motion trajectory forecasting stacked recurrent neural networks Language eng DOI 10.1109/TIV.2018.2873901 Indigenous content off HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30137748 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version (restricted access) 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 Mon, 01 Jun 2020, 12:47:04 EST Tue, 02 Jun 2020, 05:01:24 EST Sat, 03 Oct 2020, 06:02:49 EST Mon, 05 Oct 2020, 13:42:33 EST Mon, 05 Oct 2020, 13:44:04 EST Mon, 05 Oct 2020, 13:45:11 EST Mon, 05 Oct 2020, 13:46:26 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 14 times in Scopus Search Google Scholar Access Statistics: 49 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 01 Jun 2020, 12:47:04 EST

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