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- W4320802920 abstract "Kalman filtering is an optimal state estimation algorithm that can realize linear minimum variance estimation for linear systems. It is widely used in navigation, radar, fault diagnosis, survey and other fields. Based on the localization of indoor mobile robot, combined with the Kalman estimation of odometer and laser rangefinder, this paper studies the application of track fusion Kalman filtering algorithm. Simulation examples show the feasibility and effectiveness of the proposed algorithm." @default.
- W4320802920 created "2023-02-15" @default.
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- W4320802920 date "2022-08-15" @default.
- W4320802920 modified "2023-09-29" @default.
- W4320802920 title "Application of Track Fusion Kalman Filtering Algorithm in Mobile Robot Positioning" @default.
- W4320802920 cites W1976300454 @default.
- W4320802920 cites W2144717132 @default.
- W4320802920 doi "https://doi.org/10.1109/ccdc55256.2022.10033701" @default.
- W4320802920 hasPublicationYear "2022" @default.
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