Map Merging for Long-term Robotic Autonomy
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- Tomono Masahiro
- Future Robotics Technology Center, Chiba Institute of Technology
Bibliographic Information
- Other Title
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- ロボットの長期間活動のための地図結合
- ロボット ノ チョウキカン カツドウ ノ タメ ノ チズ ケツゴウ
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Abstract
<p>This paper presents a map-merging method which enables the robot to continue working for months and years. The proposed method merges a reference map and the current map to create a new reference map for the next use. Consistency check for map merging is performed using pseudo χ2 test. After map merging, the method reduces the map size by removing redundant data in the pose graph and point cloud for long-term map maintenance. Experiments show the proposed method successfully merges maps and reduces the map size. </p>
Journal
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- Journal of the Robotics Society of Japan
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Journal of the Robotics Society of Japan 37 (9), 864-872, 2019
The Robotics Society of Japan
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Details 詳細情報について
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- CRID
- 1390001277393789568
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- NII Article ID
- 130007747119
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- NII Book ID
- AN00141189
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- ISSN
- 18847145
- 02891824
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- NDL BIB ID
- 030089715
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed