Cartographer local SLAM optimization using multistage distance scan scheduler
This paper presents the utilization of Google’s simultaneous localization and mapping (SLAM) called Cartographer, and improvement of the existing processing speed using multistage distance scheduler. The presented approach optimizes the Local SLAM part in Cartographer to correct local pose based fro...
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| Main Authors: | , , , |
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| 格式: | Conference or Workshop Item |
| 出版: |
2020
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/89792/ http://dx.doi.org/10.1007/978-981-15-4481-1_20 |
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