A Generalized Method to Extract Visual Time-Sharing Sequences From Naturalistic Driving Data.
Christer AhlströmKatja KircherPublished in: IEEE Trans. Intell. Transp. Syst. (2017)
Keyphrases
- synthetic data
- input data
- data sets
- data analysis
- test data
- detection method
- clustering method
- data collection
- statistical methods
- high quality
- objective function
- dynamic programming
- correlation analysis
- database
- data points
- preprocessing
- training data
- sequential data
- statistical significance
- prior knowledge
- noisy data
- prior information
- cost function
- high dimensional data
- feature selection
- visual data
- raw data
- decision trees
- bayesian networks
- data structure
- training set
- pairwise
- data mining techniques
- high accuracy
- probabilistic model
- data sources
- significant improvement