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- W2898839266 abstract "In view of the problems of the low precision for localization based on traditional navigation with non-Gauss and non-linear model in underwater and the backward pipeline detection method, a pipeline feature map generation algorithm based on the simultaneous localization and mapping (SLAM) was proposed. By building the system state model and observation model based on SLAM, it used Cubature Kalman Filter algorithm to estimate and analysis the state of carrier and the characteristics, and the experimental results showed that the new filtering algorithm could realize high precision navigation with small error. Finally, it extracted the wreckage and pipeline characteristics with the Scan Invariant Feature Transformation (SIFT) algorithm based on the SLAM, and the experimental results proved that the new algorithm could achieve higher correlation of feature matching." @default.
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- W2898839266 date "2018-08-11" @default.
- W2898839266 modified "2023-09-26" @default.
- W2898839266 title "Research on Feature Map Generation Based on Simultaneous Localization and Mapping" @default.
- W2898839266 cites W2610508133 @default.
- W2898839266 doi "https://doi.org/10.1145/3265639.3265662" @default.
- W2898839266 hasPublicationYear "2018" @default.
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