Predicting Time-Series Trajectories of Human Driven Vehicles, using an Unsupervised Attention-Based Recurrent Neural Network.
Ross WalkerPublished in: ITSC (2019)
Keyphrases
- recurrent neural networks
- neural network
- chaotic time series
- echo state networks
- recurrent networks
- feed forward
- data driven
- reservoir computing
- non stationary
- complex valued
- trajectory data
- feedforward neural networks
- phase space
- artificial neural networks
- hidden layer
- long short term memory
- real time
- unsupervised learning
- semi supervised
- moving objects
- location prediction
- nonlinear dynamic systems
- autonomous vehicles
- unsupervised manner
- artificial intelligence