Vehicle trajectory prediction based on LSTM recurrent neural networks
A Ip, L Irio, R Oliveira - 2021 IEEE 93rd Vehicular Technology …, 2021 - ieeexplore.ieee.org
This work presents an effective tool to predict the future trajectories of vehicles when its
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
[PDF][PDF] Vehicle Trajectory Prediction based on LSTM Recurrent Neural Networks
A Ip, L Irio, R Oliveira - run.unl.pt
This work presents an effective tool to predict the future trajectories of vehicles when its
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
[PDF][PDF] Vehicle Trajectory Prediction based on LSTM Recurrent Neural Networks
A Ip, L Irio, R Oliveira - research.unl.pt
This work presents an effective tool to predict the future trajectories of vehicles when its
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
[PDF][PDF] Vehicle Trajectory Prediction based on LSTM Recurrent Neural Networks
A Ip, L Irio, R Oliveira - novaresearch.unl.pt
This work presents an effective tool to predict the future trajectories of vehicles when its
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …
current and previous locations are known. We propose a Long Short-Term Memory (LSTM) …