HIGHLIGHTS
- who: Wei Shen et al. from the School of Marine Science, Shanghai Ocean University, Shanghai, China have published the research: A LiDAR SLAM-Assisted Fusion Positioning Method for USVs, in the Journal: Sensors 2023, 1558 of /2023/
- what: The experiments show that compared with the traditional Kalman filter and adaptive Kalman filter fusion algorithms the positioning error is reduced by 55.4% and 43.5%. The specific work of this study is as follows: A LiDAR SLAM-assisted multi-source information fusion positioning method for USVs is proposed in this study, which innovatively integrates combined . . .
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