Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors

Machine Learning-Based Vehicle Trajectory Prediction Using V2V Communications and On-Board Sensors

Predicting the trajectories of surrounding vehicles is important to avoid or mitigate collision with traffic participants. However, due to limited past information and the uncertainty in future driving maneuvers, trajectory prediction is a challenging task. Recently, trajectory prediction models usi...

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Bibliographic Details
Main Authors: Dongho Choi, Janghyuk Yim, Minjin Baek, Sangsun Lee
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Electronics
Subjects:
machine learning
random forest
LSTM encoder-decoder
collision warning system
lane changing prediction
trajectory prediction
Online Access:https://www.mdpi.com/2079-9292/10/4/420

Internet

https://www.mdpi.com/2079-9292/10/4/420

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