A High-Precision, Real-Time, and Robust Indoor Visible Light Positioning Method Based on Mean Shift Algorithm and Unscented Kalman Filter.
Zekun XieWeipeng GuanJieheng ZhengXinjie ZhangShihuan ChenBangdong ChenPublished in: Sensors (2019)
Keyphrases
- high precision
- mean shift
- high accuracy
- kalman filter
- mode seeking
- unscented kalman filter
- dynamic programming
- density function
- real time
- target tracking
- robust tracking
- partial occlusion
- convergence rate
- extended kalman filter
- image matching
- kalman filtering
- estimation accuracy
- object tracking
- particle filter
- spectral clustering
- density estimation
- particle filtering
- visual tracking
- state estimation
- expectation maximization
- learning algorithm