Sensor-based driver condition recognition using support vector machine for the detection of driver drowsiness.
Seong-Pil CheonSuk-Ju KangPublished in: Intelligent Vehicles Symposium (2017)
Keyphrases
- support vector machine
- traffic accidents
- driver assistance systems
- driving behavior
- detection algorithm
- false positives
- automatic detection
- car navigation
- road safety
- false alarms
- object detection
- information systems
- sufficient conditions
- dangerous situations
- detection accuracy
- real time
- k nearest neighbor
- detection method
- genetic algorithm
- multi class
- computer vision
- classification method
- data sets
- neural network
- intelligent vehicles
- feature selection
- svm classifier
- training data
- kernel function
- feature space
- support vector machine svm
- feature vectors