Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter.
A. S. M. BakibillahYong Hwa TanJunn Yong LooChee Pin TanMd. Abdus Samad KamalZiyuan PuPublished in: Appl. Math. Comput. (2022)
Keyphrases
- missing data
- robust estimation
- extended kalman filter
- kalman filter
- least squares
- estimation accuracy
- particle filter
- structure from motion
- neural network
- motion field
- motion segmentation
- ego motion
- training algorithm
- traffic flow
- vector field
- mean shift
- space time
- motion estimation
- dynamic programming
- traffic congestion
- search algorithm