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- W4386430342 abstract "During the early developmental stage of visual SLAM technology, other sensor information was not considered, and only the camera was used. According to different tracking algorithms, VSLAM can be classified into direct and feature (or indirect) methods. If based on optimization algorithms, visual SLAM can be classified into filter-based optimization (e.g., MonoSLAM) and graph-based optimization (e.g., parallel tracking and mapping (PTAM)). When the image features of the pure vision-based SLAM are lost, the accuracy and robustness of the pose estimation decrease rapidly, and the algorithm may fail. Therefore, during subsequent development, visual SLAM techniques based on the fusion of multiple sensors, such as vision, IMU, and LiDAR, have emerged." @default.
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- W4386430342 date "2023-01-01" @default.
- W4386430342 modified "2023-10-17" @default.
- W4386430342 title "Visual SLAM for Mobile Robot" @default.
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- W4386430342 doi "https://doi.org/10.1007/978-981-99-1814-0_10" @default.
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