A Low-Cost Positioning System for Parallel Tracking Applications of Agricultural Vehicles by Using Kalman Filter.
Fangming ZhangXiming FengYuan LiXiuqin RaoDi CuiPublished in: CCTA (1) (2011)
Keyphrases
- kalman filter
- low cost
- kalman filtering
- particle filter
- target tracking
- object tracking
- real time
- robust tracking
- state estimation
- particle filtering
- tracking framework
- mean shift
- unscented kalman filter
- bayesian filtering
- state space model
- extended kalman filter
- motion parameters
- machine learning
- simultaneous localization and mapping
- multiscale
- traffic flow
- appearance model
- image processing
- computer vision