2019
Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models
ICASSP 2019accepted
In this work, we propose a data driven trajectory forecasting algorithm that utilizes both recorded historical and streaming trajectory observations. The algorithm performs Bayesian inference on a directed graph the walks on which represent stochastic change point models of trajectory classes. Param…