Manifold Learning for Lane-changing Behavior Recognition in Urban Traffic.
Jinghang LiChao LuYouzhi XuZhao ZhangJianwei GongHuijun DiPublished in: ITSC (2019)
Keyphrases
- supervised learning
- manifold learning
- behavior recognition
- urban traffic
- traffic flow
- semi supervised
- traffic control
- traffic congestion
- dimensionality reduction
- low dimensional
- high dimensional
- traffic signal
- dimension reduction
- travel time
- learning algorithm
- intelligent transportation systems
- machine learning
- high dimensional data
- selective attention
- traffic light
- cellular automata
- feature extraction
- sparse representation
- tensor voting
- real time
- training samples
- feature space
- computer vision
- autonomous vehicles
- traffic conditions
- nearest neighbor