A hybrid stochastic approach for offline train trajectory reconstruction.
Pier Giuseppe SessaValerio De MartinisAxel Bomhauer-BeinsUlrich Alois WeidmannFrancesco CormanPublished in: Public Transp. (2021)
Keyphrases
- monte carlo
- image reconstruction
- real time
- maximum a posteriori probability
- hybrid approaches
- high resolution
- trajectory data
- compressive sensing
- moving object trajectories
- reconstruction process
- compressed sensing
- learning automata
- shape recovery
- reconstruction method
- hybrid learning
- multiresolution
- discrete tomography
- spatio temporal
- three dimensional
- stochastic nature
- trajectories of moving objects
- computer vision