Anomalous State Recognition of Lane-changing Behavior using a Hybrid Autoencoder Architecture.
Pengcheng FanYangzexi LiuJingqiu GuoYibing WangMin QiuPublished in: ITSC (2020)
Keyphrases
- real time
- recognition rate
- feature extraction
- behavioral model
- automatic recognition
- object recognition
- image recognition
- pattern recognition
- character recognition
- anomaly detection
- temporal behavior
- action recognition
- recognition accuracy
- partial occlusion
- recognition algorithm
- human behavior
- state space
- state transition
- dynamic behavior
- handwriting recognition
- state transitions
- handwritten characters
- reinforcement learning