2020
DOI: 10.1007/s11036-020-01680-7
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Improving Tightly LiDAR/Compass/Encoder-Integrated Mobile Robot Localization with Uncertain Sampling Period Utilizing EFIR Filter

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Cited by 9 publications
(12 citation statements)
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“…Then, the second section of this issue includes the other five papers, which focuses on the enhanced learning methods using in real application, such as forecast, localization, as well as various kinds of applilcations [11][12][13][14][15].…”
Section: Enhanced Learning Methods In Real Applicationmentioning
confidence: 99%
“…Then, the second section of this issue includes the other five papers, which focuses on the enhanced learning methods using in real application, such as forecast, localization, as well as various kinds of applilcations [11][12][13][14][15].…”
Section: Enhanced Learning Methods In Real Applicationmentioning
confidence: 99%
“…The RNs are pre-positioned on static coordinates, and the BN is fixed on the robot. When the UWB localization system works, BN is used to collect the ranges d U i , i ∈ [1,4] from i th RN to BN. Then, the ranges d U i , i ∈ [1,4] are input to the multi-interval EFIR Rauch-Tung-Striebel (ERTS) smoother, which used as the data fusion filter in this work.…”
Section: The Scheme For Fusing the Range-only Uwb Measurementsmentioning
confidence: 99%
“…When the UWB localization system works, BN is used to collect the ranges d U i , i ∈ [1,4] from i th RN to BN. Then, the ranges d U i , i ∈ [1,4] are input to the multi-interval EFIR Rauch-Tung-Striebel (ERTS) smoother, which used as the data fusion filter in this work. Finally, the multi-interval ERTSS provides the mobile robot's position Po.…”
Section: The Scheme For Fusing the Range-only Uwb Measurementsmentioning
confidence: 99%
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