Performance study on CUDA GPUs for parallelizing the local ensemble transformed Kalman filter algorithm.
Timothy BlattnerShiming YangPublished in: Concurr. Comput. Pract. Exp. (2012)
Keyphrases
- kalman filter
- kalman filtering
- learning algorithm
- target tracking
- general purpose
- state space model
- data sets
- state estimation
- mobile robot
- artificial neural networks
- parallel implementation
- pairwise
- simultaneous localization and mapping
- gpu implementation
- objective function
- dynamic programming
- image classification
- object tracking
- data analysis
- optimal solution