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A two stage probabilistic prediction model is presented that uses nonparametric Gaussian Process (GP) regression to model continuous complex actions combined with a parametric model for known system dynamics. This two stage model is applied to the case of anticipating driver behavior and vehicle motion. The cross covariances between the initial state distribution and the control action distributions...
Predicting the future speed of the ego-vehicle is a necessary component of many Intelligent Transportation Systems (ITS) applications, in particular for safety and energy management systems. In the last four decades many parametric speed prediction models have been proposed, the most advanced ones being developed for use in traffic simulators. More recently non-parametric approaches have been applied...
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