Polar Occupancy Map - A Compact Traffic Representation for Deep Learning Scenario Classification.
Halil BeglerovicJonas RuebsamSteffen MetznerMartin HornPublished in: ITSC (2019)
Keyphrases
- learning scenarios
- pattern recognition
- classification accuracy
- feature representation
- real world
- machine learning
- decision trees
- supervised learning
- text classification
- classification algorithm
- image representation
- parametric representation
- compact representations
- learning design
- learning processes
- classification method
- learning styles
- feature extraction
- learning experience
- database
- learning activities
- maximum a posteriori
- fourier transform
- road network
- image classification
- expert systems
- learning environment
- ims ld
- learning situations
- case study
- databases