An interactive generalized dynamic Bayesian network learned from LiDAR point clouds, combined with a Markov jump particle filter, is used to predict dynamic blockages and detect abnormalities in vehicular sensing.
Abnormal activity detection and classifi- cation of bus passengers with in-vehicle image sensing,
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LiDAR-based Dynamic Blockage Prediction: A Data-driven Approach for Learning Interactive Bayesian Models
An interactive generalized dynamic Bayesian network learned from LiDAR point clouds, combined with a Markov jump particle filter, is used to predict dynamic blockages and detect abnormalities in vehicular sensing.