Relative entropy-based Kalman filter for seamless indoor/outdoor multi-source fusion positioning with INS/TC-OFDM/GNSS.
Enwen HuZhongliang DengQingqing XuLu YinWen LiuPublished in: Clust. Comput. (2019)
Keyphrases
- kalman filter
- multi source
- data fusion
- indoor outdoor
- information fusion
- global positioning system
- multipath
- scene classification
- kalman filtering
- multi sensor
- navigation systems
- particle filter
- image classification
- multiple sources
- object tracking
- image fusion
- mean shift
- soft computing
- extended kalman filter
- particle filtering
- data integration
- data sources
- visual tracking
- biologically inspired
- community detection
- neural network
- bag of words
- markov random field
- viewpoint
- pairwise
- object recognition
- video sequences
- computer vision