An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance.
Chen ChaiJuanwu LuXuan JiangXiupeng ShiZeng ZengPublished in: CoRR (2021)
Keyphrases
- machine learning
- detection method
- detection algorithm
- fully automatic
- classification accuracy
- objective function
- preprocessing
- high accuracy
- computer vision
- statistical methods
- pairwise
- machine learning methods
- computational cost
- model selection
- anomaly detection
- support vector machine
- edge detector
- unsupervised learning
- edge detection
- active learning
- evolutionary algorithm
- face recognition
- feature selection
- learning algorithm