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Total Size:
43.7 MB
Info Hash:
F0C6D6455DE50CACC22D649DA7F5E72082C29BFE
Added By:
Added:
April 18, 2026, 4:50 a.m.
Stats:
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(Last updated: April 18, 2026, 4:51 a.m.)
| File | Size |
|---|---|
| Yu J. Localization and Mapping of Autonomous Mobile Robots 2025.pdf | 43.7 MB |
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118.9 MB
[10
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1]
2026-03-02
| Uploaded by andryold1 | Size 118.9 MB | Health [ 10 /1 ] | Added 2026-03-02 |
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71.6 GB
[20
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33]
2024-07-07
| Uploaded by webmaster32 | Size 71.6 GB | Health [ 20 /33 ] | Added 2024-07-07 |
NOTE
SOURCE: Yu J. Localization and Mapping of Autonomous Mobile Robots 2025
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COVER
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MEDIAINFO
Textbook in PDF format Localization and mapping play a critical role in the autonomous task execution of mobile robots. This book covers the theoretical and technological aspects of robot localization and mapping, including visual localization and mapping, visual relocalization, LiDAR localization and mapping, and place recognition. It provides the theoretical foundations of robot localization and mapping. It employs both traditional methods, such as geometry-based visual localization, and state-of-the-art deep learning techniques that improve robot perception. The authors also address LiDAR-based localization, exploring techniques to improve both efficiency and accuracy when processing dense point clouds. Key topics include visual localization using deep features, integration of visual solutions under ROS-based software architecture, and distribution-based LiDAR localization
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