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.

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Title Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks
Author(s) Saleh, K
Hossny, MORCID iD for Hossny, M orcid.org/0000-0002-1593-6296
Nahavandi, SORCID iD for 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

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