Parallelized Particle Filter Design for CUDA Based Computing Platforms
碩士 === 臺灣大學 === 電子工程學研究所 === 98 === Particle filtering is a sequential Monte Carlo (SMC) based method which outperforms traditional Kalman based filters in a wide range of real-worlds applications involving the nonlinear/non-Gaussian Bayesian estimation, such as target tracking in surveillance syste...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56500381413546257911 |