Automatic Clustering for Unsupervised Risk Diagnosis of Vehicle Driving for Smart Road.
Xiupeng ShiYiik Diew WongChen ChaiMichael Zhi-Feng LiTianyi ChenZeng ZengPublished in: CoRR (2020)
Keyphrases
- autonomous driving
- traffic accidents
- intelligent vehicles
- driver assistance systems
- unsupervised learning
- grand challenge
- driving simulator
- stereo vision
- vehicle detection
- traffic conditions
- clustering algorithm
- unsupervised classification
- completely unsupervised
- clustering method
- k means
- information bottleneck
- vehicle speed
- automatic diagnosis
- information theoretic
- autonomous vehicles
- supervised classification
- supervised learning
- urban traffic
- agglomerative clustering
- traffic signs
- traffic management
- fault diagnosis
- unsupervised clustering
- road surface
- traffic safety
- unsupervised feature selection
- land vehicle
- lane detection
- road safety
- cluster validation
- city traffic
- moving vehicles
- traffic monitoring
- unsupervised manner
- medical diagnosis
- lane departure
- road network
- traffic scenes
- intelligent transportation systems
- traffic flow
- pedestrian detection
- self organizing maps
- road vehicles
- detection algorithm
- traffic simulator
- semi supervised
- data points