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Found 4 papers, 1 papers with code
Conditional Unscented Autoencoders for Trajectory Prediction
We leverage recent advances in the space of the VAE, the foundation of the CVAE, which show that a simple change in the sampling procedure can greatly benefit performance.
Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving
Typical predictors use the trajectory history to predict future motion, however in cases of motion initiation, motion in the trajectory may only be clearly visible after a delay, which can result in the pedestrian has entered the road area before an accurate prediction can be made.
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?
Even though the models' RMSE value differed, all the models captured the kinematic-dependent merging behavior but struggled at varying degrees to capture the more nuanced courtesy lane change and highway lane change behavior.
Sparse, guided feature connections in an Abstract Deep Network
The ADN system provides a method for developing a very sparse, deep feature topology, based on observed relationships between features, that is able to find solutions in irregular domains, and initialize a network prior to gradient descent learning.
