Collaborative positioning for swarms: A brief survey of vision, LiDAR and wireless sensors based methods

被引:7
|
作者
Li, Zeyu [1 ]
Jiang, Changhui [2 ]
Gu, Xiaobo [3 ]
Xu, Ying [1 ]
Zhou, Feng [1 ]
Cui, Jianhui [1 ]
机构
[1] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao 266590, Peoples R China
[2] Univ Gustave Eiffel, Geoloc Lab, F-77454 Paris, France
[3] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
来源
DEFENCE TECHNOLOGY | 2024年 / 33卷
基金
中国国家自然科学基金;
关键词
Collaborative positioning; Vision; LiDAR; Wireless sensors; Sensor fusion; CLOCK PARAMETERS TRACKING; COOPERATIVE LOCALIZATION; RELATIVE NAVIGATION; VISUAL SLAM; SYNCHRONIZATION; ALGORITHM; TIME; CONSTRAINTS; DEPLOYMENT; FRAMEWORK;
D O I
10.1016/j.dt.2023.05.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
As positioning sensors, edge computation power, and communication technologies continue to develop, a moving agent can now sense its surroundings and communicate with other agents. By receiving spatial information from both its environment and other agents, an agent can use various methods and sensor types to localize itself. With its high flexibility and robustness, collaborative positioning has become a widely used method in both military and civilian applications. This paper introduces the basic fundamental concepts and applications of collaborative positioning, and reviews recent progress in the field based on camera, LiDAR (Light Detection and Ranging), wireless sensor, and their integration. The paper compares the current methods with respect to their sensor type, summarizes their main paradigms, and analyzes their evaluation experiments. Finally, the paper discusses the main challenges and open issues that require further research. (c) 2023 China Ordnance Society. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:475 / 493
页数:19
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