Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.
Xiupeng ShiYiik Diew WongChen ChaiMichael Zhi-Feng LiTianyi ChenZeng ZengPublished in: IEEE Trans. Intell. Transp. Syst. (2022)
Keyphrases
- autonomous driving
- traffic accidents
- unsupervised learning
- intelligent vehicles
- driver assistance systems
- grand challenge
- driving simulator
- vehicle detection
- stereo vision
- clustering method
- road safety
- clustering algorithm
- automatic diagnosis
- traffic safety
- unsupervised manner
- road surface
- unsupervised classification
- information bottleneck
- traffic conditions
- lane detection
- unsupervised clustering
- traffic management
- traffic monitoring
- unsupervised feature selection
- urban traffic
- autonomous vehicles
- completely unsupervised
- vehicle speed
- supervised classification
- moving vehicles
- road vehicles
- k means
- city traffic
- real time
- driving behavior
- agglomerative clustering
- intelligent transportation systems
- medical diagnosis
- model based diagnosis
- data points
- supervised learning
- information theoretic
- data clustering
- lane change
- risk factors
- cluster validation
- traffic signs
- traffic light
- road segments
- lane departure
- road traffic
- risk management
- pedestrian detection
- spectral clustering
- traffic scenes