Block-Map-Based Localization in Large-Scale Environment Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2404.18192
Accurate localization is an essential technology for the flexible navigation of robots in large-scale environments. Both SLAM-based and map-based localization will increase the computing load due to the increase in map size, which will affect downstream tasks such as robot navigation and services. To this end, we propose a localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps. Firstly, we introduce a method for generating block maps and the corresponding switching strategies, ensuring that the robot can estimate the state in large-scale environments by loading local map information. Secondly, global localization according to Branch-and-Bound Search (BBS) in the 3D map is introduced to provide the initial pose. Finally, a graph-based optimization method is adopted with a dynamic sliding window that determines what factors are being marginalized whether a robot is exposed to a BM or switching to another one, which maintains the accuracy and efficiency of pose tracking. Comparison experiments are performed on publicly available large-scale datasets. Results show that the proposed method can track the robot pose even though the map scale reaches more than 6 kilometers, while efficient and accurate localization is still guaranteed on NCLT and M2DGR.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2404.18192
- https://arxiv.org/pdf/2404.18192
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396820117
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396820117Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2404.18192Digital Object Identifier
- Title
-
Block-Map-Based Localization in Large-Scale EnvironmentWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-28Full publication date if available
- Authors
-
Yixiao Feng, Jiang Zhou, Yongliang Shi, Yun‐Long Feng, Xiangyu Chen, Hao Zhao, Guyue ZhouList of authors in order
- Landing page
-
https://arxiv.org/abs/2404.18192Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2404.18192Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2404.18192Direct OA link when available
- Concepts
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Block (permutation group theory), Scale (ratio), Computer science, Cartography, Geography, Mathematics, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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