Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios-Reference-Cited by-同舟云学术

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Pole-like Objects Mapping and Long-Term Robot Localization in Dynamic Urban Scenarios

Published:2021-12-27 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Robotics and Biomimetics (ROBIO)
language:
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Author:

Wang Zhihao¹,Li Silin¹,Cao Ming¹,Chen Haoyao¹,Liu Yunhui¹

Affiliation:

1. Harbin Institute of Technology,School of Mechanical Engineering and Automation,Shenzhen,P.R. China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9739207/9739208/09739599.pdf?arnumber=9739599

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Poles Extraction Based LiDAR Localization for Autonomous Robot Systems;Journal of Systems Science and Complexity;2024-06-11

2. A Tree-Shrub Layer Separation Method for MLS LiDAR Point Clouds of Typical Tropical Seasonal Rainforests;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Why Semantics Matters: A Deep Study on Semantic Particle-Filtering Localization in a LiDAR Semantic Pole Map;IEEE Transactions on Field Robotics;2024

4. A 3D Lidar SLAM System Based on Semantic Segmentation for Rubber-Tapping Robot;Forests;2023-09-12

5. An Environment-Augmented Global Localization Solution Using LiDAR and Geo-Referenced Point Cloud;2023 30th International Conference on Geoinformatics;2023-07-19

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