Sentence examples for motion models are from inspiring English sources
Statistical methods employed for the analysis of the data and additive motion models are derived.
Despite the importance of single particle motion in biological systems, systematic inference approaches to analyze particle trajectories and evaluate competing motion models are lacking.
Most Interaction-aware motion models are based on Dynamic Bayesian Networks (DBN).
Maneuver-based motion models are either based on prototype trajectories or based on maneuver intention estimation.
Finally, the limitations of Maneuver-based motion models are analyzed in Section 'Limitations'.
As a result, higher-order motion models are seldom used in practical coding applications.
Description of the earthquake acceleration time history through stochastic ground motion models is considered in this context.
In particular, a global overview of the multiple pedestrian motion models is given, and the pedestrian image detector is described.
A multiple model particle filter, which uses two different motion models, is designed for enabling the tracking of both road-constrained (on-road) and unconstrained (off-road) targets.
Trajectory prediction with Maneuver-based motion models is based on the early recognition of the maneuvers that drivers intend to perform.
In this paper, both a decision model and a motion model are developed for simulating this interaction process.
