Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models.
Naren BaoAlexander CarballoKazuya TakedaPublished in: IV (2021)
Keyphrases
- generative model
- driving behavior
- probabilistic model
- discriminative learning
- hierarchical hidden markov models
- discriminative models
- mixture model
- conditional random fields
- object categories
- deep belief networks
- traffic accidents
- prior knowledge
- em algorithm
- hidden variables
- intelligent vehicles
- driver assistance systems
- maximum entropy principle
- driving simulator
- topic models
- deep learning
- expectation maximization
- semi supervised
- representational power
- information extraction
- learning algorithm
- graphical models
- e learning