Using Hidden Markov Model and Dempster-Shafer Theory for Evaluating and Detecting Dangerous Situations in Level Crossing Environments.
Houssam SalmaneYassine RuichekLouahdi KhoudourPublished in: MICAI (1) (2012)
Keyphrases
- hidden markov models
- dempster shafer theory
- dangerous situations
- real environment
- belief functions
- fusion algorithm
- surveillance system
- speech recognition
- dempster shafer
- viterbi algorithm
- dynamic environments
- continuous hidden markov models
- genetic algorithm
- data fusion
- image processing
- robotic systems
- hidden states
- virtual environment