Predicting Vehicle Behavior Using Automotive Radar and Recurrent Neural Networks

Predicting Vehicle Behavior Using Automotive Radar and Recurrent Neural Networks

We present a Long Short Term Memory (LSTM) encoder-decoder architecture to anticipate the future positions of vehicles in a road network given several seconds of historical observations and associated map features. Unlike existing architectures, the proposed method incorporates and updates the surro...

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Bibliographic Details
Main Authors: Saptarshi Mukherjee, Andrew M. Wallace, Sen Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Vehicle location
behavior prediction
automotive radar
long short term memory (LSTM)
neural networks
Online Access:https://ieeexplore.ieee.org/document/9520242/

Internet

https://ieeexplore.ieee.org/document/9520242/

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