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verstecktes Markov-Modell
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Bayesian Traffic Light Parameter Tracking Based on Semi-Hidden Markov Models
Estimating and reshaping human intention via human robot interaction
Robust in-car speech recognition based on nonlinear multiple regressions
Daily activity pattern recognition by using support vector machines with multiple classes
How income satisfaction impacts driver engagement dynamics in ride-hailing services
Lane changing intention recognition based on speech recognition models
Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach
A hybrid HMM model for travel path inference with sparse GPS samples
A hybrid HMM model for travel path inference with sparse GPS samples
Origin destination estimator based on Hidden Markov Models for adaptive traffic control
A Hidden Markov Model for short term prediction of traffic conditions on freeways
A novel adaptive traffic controller based on Hidden Markov Model and answer set programming
Selection and monitoring of navigation modes for an autonomous rover
Building a human behavior map from local observations
Degradation Model Prediction for Battery of Electric Vehicle Based on Hidden Markov Model
Attack Impact and Misbehavior Detection in Vehicular Platoons
Latent stage model for carsharing usage frequency estimation with Montréal case study
Joint Pedestrian Motion State and Device Pose Classification
Learning Traffic Patterns at Small Airports From Flight Tracks
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer
A Low-Cost Lane-Determination System Using GNSS/IMU Fusion and HMM-Based Multistage Map Matching
Analysis of Recurrent Neural Networks for Probabilistic Modeling of Driver Behavior
Heterogeneous Multiscale Method for Multirate Railway Traction Systems Analysis
Online Map-Matching of Noisy and Sparse Location Data With Hidden Markov and Route Choice Models
Accurate Real-time Map Matching for Challenging Environments
Probabilistic balance monitoring for bipedal robots
Mining Road Network Correlation for Traffic Estimation via Compressive Sensing
A Combined Model- and Learning-Based Framework for Interaction-Aware Maneuver Prediction
Vehicle Speed Prediction by Two-Level Data Driven Models in Vehicular Networks
Energy Consumption Evaluation Based on a Personalized Driver-Vehicle Model
Switching linear dynamic models for noise robust in-car speech recognition
A ST-CRF Map-Matching Method for Low-Frequency Floating Car Data
Unsupervised Tracking With the Doubly Stochastic Dirichlet Process Mixture Model
Hidden Markov model approach to skill learning and its application to telerobotics
An Efficient Framework for Multirequest Route Planning in Urban Environments
Establishing Style-Oriented Driver Models by Imitating Human Driving Behaviors
Force-based robot learning of pouring skills using parametric hidden Markov models
Hidden Markov model and driver path preference for floating car trajectory map matching
Hidden Markov model and driver path preference for floating car trajectory map matching
Driving behaviour‐based event data recorder
Spatial–temporal traffic outlier detection by coupling road level of service
Spatial–temporal traffic outlier detection by coupling road level of service
Dynamically consistent probabilistic model for robot motion learning