Vehicles Trajectory Prediction Using Recurrent VAE Network

Vehicles Trajectory Prediction Using Recurrent VAE Network

This paper presents an analysis of the implementation and performance of a deep learning model based on Recurrent layers and Variational Auto Encoder model (VAE) architecture for prediction of future local trajectory and maneuver. The proposed method uses the encoder part of the VAE to represent the...

Full description

Bibliographic Details
Main Authors: Miguel Angel De Miguel, Jose Maria Armingol, Fernando Garcia
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Intelligent vehicles
navigation
intelligent vehicles
land vehicles
prediction algorithms
trajectory prediction
Online Access:https://ieeexplore.ieee.org/document/9740177/

Internet

https://ieeexplore.ieee.org/document/9740177/

Similar Items