A Dual Learning Model for Vehicle Trajectory Prediction

A Dual Learning Model for Vehicle Trajectory Prediction

Automated vehicles and advanced driver-assistance systems require an accurate prediction of future traffic scene states. The tendency in recent years has been to use deep learning approaches for accurate trajectory prediction but these approaches suffer from computational complexity, dependency on a...

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Bibliographic Details
Main Authors: Mahrokh Khakzar, Andry Rakotonirainy, Andy Bond, Sepehr G. Dehkordi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Vehicle trajectory
trajectory prediction
recurrent neural network
deep feature learning
long-short-term memory
Online Access:https://ieeexplore.ieee.org/document/8966366/

Internet

https://ieeexplore.ieee.org/document/8966366/

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