Experimental Evaluation of Tire Tread Wear Detection Using Machine Learning in Real-Road Driving Conditions.
Jun-Young HanJi-Hoon KwonSuk LeeKyung Chang LeeHyeong Jun KimPublished in: IEEE Access (2023)
Keyphrases
- experimental evaluation
- machine learning
- driver assistance systems
- vehicle detection
- autonomous driving
- detection algorithm
- detection accuracy
- intelligent vehicles
- natural language processing
- sufficient conditions
- detection method
- active learning
- object detection
- automatic detection
- artificial intelligence
- event detection
- road surface
- data mining
- road network
- machine learning methods
- machine learning algorithms
- information extraction
- false positives
- traffic signs
- driving simulator
- decision trees
- road safety
- lane markings
- reinforcement learning
- pattern recognition
- natural language
- false alarms
- inductive learning
- text mining
- statistical methods
- urban areas
- traffic accidents
- road signs
- traffic safety
- lane detection
- model selection
- real time
- learning systems