Interaction-Aware Trajectory Prediction based on a 3D Spatio-Temporal Tensor Representation using Convolutional-Recurrent Neural Networks.
Martin KrügerAnne Stockem NovoTill NattermannTorsten BertramPublished in: IV (2020)
Keyphrases
- recurrent neural networks
- spatio temporal
- chaotic time series
- neural network
- prediction accuracy
- feed forward
- complex valued
- reservoir computing
- feedforward neural networks
- echo state networks
- long short term memory
- cascade correlation
- trajectories of moving objects
- recurrent networks
- prediction model
- spatial and temporal
- hidden layer
- image sequences
- movement patterns
- artificial neural networks
- object trajectories
- space time
- motion trajectories
- nonlinear dynamic systems
- moving objects
- moving object databases
- location prediction
- neural models
- human motion
- protein interaction
- machine learning
- data mining