Comparative Study of Markov Chain With Recurrent Neural Network for Short Term Velocity Prediction Implemented on an Embedded System

Comparative Study of Markov Chain With Recurrent Neural Network for Short Term Velocity Prediction Implemented on an Embedded System

Short-term prediction models for an ego-vehicle's speed contributes to the improvement of vehicle safety, driveability, and fuel economy. To achieve these desired outcomes, an accurate forward speed prediction model and its successful implementation in a real system is a prerequisite. This pape...

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Bibliographic Details
Main Authors: Jaewook Shin, Kyuhwan Yeon, Sunbin Kim, Myoungho Sunwoo, Manbae Han
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Embedded system
execution time
gated recurrent unit (GRU)
long short-term momory (LSTM)
Markov chain
prediction accuracy
Online Access:https://ieeexplore.ieee.org/document/9345689/

Internet

https://ieeexplore.ieee.org/document/9345689/

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