… purpose of this research is to realize the intention prediction … a framework that combines
time series prediction and deep … online prediction algorithms to reflect the driving intention of …

… intention prediction tasks and a causal-based time series … causal model for vehicle intention
prediction tasks to learn an … ], goal/intent-conditioned trajectory forecasting can improve …

… I develop nine principles from past studies of the predictive accuracy of intentions data …
purpose in this chapter is to summarize current knowledge about using intention data to forecast …

… This survey aims at presenting a state-of-the-art of parametric models dedicated to time
series analysis, with the purpose of prediction. These models are divided into two categories: …

… on a particular form of time series: the binary time series that contains instantaneous events
that occur over time. However, … One purpose of time series data is that it can be used in …

… of intentions surveys into time series forecasts. Some intentions surveys include a time …
Other approaches have attempted to forecast adoption time series by modelling individual …

… These detailed intention types in BLVD enable a more nuanced analysis and modeling
of … [190] contribute a causal-based time series domain generalization model for predicting …

… Unlike normal human action recognition [35], which directly identifies actions from EEG
recordings, we identify actions on the predicted EEG recordings to know the intention of the user …

… , a forecasting about their future … intent prediction of pedestrians in urban traffic environment
from motion trajectories. Whereas, we formulate the task at hand as a time series prediction …

… the primary goal of the analysis including driver identification [… Moreover, we consider the
trajectory as a time series. In other … As a result, we formulate intention prediction task as finding …