Design of Lidar SLAM Perception and Localization Algorithm for Underground Roadway Inspection Vehicles in Coal Mines-Reference-Cited by-同舟云学术

Design of Lidar SLAM Perception and Localization Algorithm for Underground Roadway Inspection Vehicles in Coal Mines

Published:2024-05-24 Issue: Volume: Page:242-246
ISSN:
Container-title:Proceedings of the 2024 3rd International Symposium on Control Engineering and Robotics
language:
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Author:

Wan Ziyuan¹^ORCID,Guo Ruonan²^ORCID,Liu Luyao³^ORCID,Lu Yufang⁴^ORCID

Affiliation:

1. CCTEG (China Coal Technology & Engineering Group) Shanghai Co.,Ltd., China

2. Zhongke Huituo (Beijing) Technology Co., Ltd., China

3. Talent Power (Beijing) Technology Co., Ltd., China

4. State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3679409.3679455

Reference12 articles.

1. Xinxian Sun, Yanlong Luo, Zhenbo Chen & Le Pan. (2024). Design of AI inspection system for rail vehicles. Heilongjiang Science(02),109-111+115.

2. Wang, Kunpeng, Zhao, Xinying, Wang, Yuting, Liu, Haitao & Zhou, Yang. (2023). Design of on-board rail intelligent inspection system for urban rail vehicles. Electromechanical Engineering Technology(05),204-208.

3. Current Status of Visual SLAM Environment Sensing Technology and Prospect of Intelligent Mapping Applications;Zhang Jixian;Journal of Surveying and Mapping (10),2023

4. R.L. Zhao. (2024). Research on the utilization of robot navigation technology for vehicle inspection in Guangzhou Metro. Railway Operation Technology (01),51-54.

5. Cai Yiyi Qin Tuanfa Ou Yang & Wei Rui.(2023). Intelligent Systems in Motion: A Comprehensive Review on Multi-Sensor Fusion and Information Processing From Sensing to Navigation in Path Planning.International Journal on Semantic Web and Information Systems (IJSWIS)(1) 1-35.