2009 IEEE International Conference on Systems, Man and Cybernetics 2009
DOI: 10.1109/icsmc.2009.5346572
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PSO-FastSLAM: An improved FastSLAM framework using particle swarm optimization

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Cited by 27 publications
(21 citation statements)
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“…The research in the future will focus on how to implement PSO-FastSLAM [13][14][15]. At the same time, we will transplant from single-GPU to multi-GPU, which will further accelerate the algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…The research in the future will focus on how to implement PSO-FastSLAM [13][14][15]. At the same time, we will transplant from single-GPU to multi-GPU, which will further accelerate the algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…Generally speaking, PSO is thought to be a simple and fast method of optimization compared with GA, HS and GSA, whereas PSO is still able to obtain high accuracy of prediction and reach the optima by updating generations [31]. For this purpose, PSO might be more appropriate to be adopted in particle filter to optimize the sampling step [32,33].…”
Section: Pso Optimizationmentioning
confidence: 99%
“…Furthermore, both Ref. [23] and Ref. [24] only deal with 3-DOF ego-motion estimation problems, i.e., the state space is confined to a 2-D plane.…”
Section: Introductionmentioning
confidence: 99%
“…Ref. [23] proposed PSO-FastSLAM, where PSO is used to enhance the resampling performance of the ordinary FastSLAM method used for visual SLAM. Hence, PSO-FastSLAM cannot properly deal with the abrupt camera motion.…”
Section: Introductionmentioning
confidence: 99%
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