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
相关论文
共 50 条
  • [1] Collaborative positioning for swarms: A brief survey of vision, LiDAR and wireless sensors based methods
    Zeyu Li
    Changhui Jiang
    Xiaobo Gu
    Ying Xu
    Feng zhou
    Jianhui Cui
    Defence Technology, 2024, 33 (03) : 475 - 493
  • [2] Collaborative Navigation of UAV and UGV Using Vision and LIDAR Sensors
    Kim, Jin Hyo
    Bae, Il
    Quan, Cheng-Hao
    Lee, Sang Ho
    Son, Pyo Woong
    Rhee, Joon Hyo
    Kim, Shiho
    Seo, Jiwon
    PROCEEDINGS OF THE ION 2013 PACIFIC PNT MEETING, 2013, : 762 - 768
  • [3] A collaborative relative localization method for vehicles using vision and LiDAR sensors
    Li, Yanhao
    Li, Hao
    16TH IEEE INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2020), 2020, : 281 - 286
  • [4] A survey of hybridisation methods of GNSS and wireless LAN based positioning system
    Richter, Philipp
    Toledano-Ayala, Manuel
    Soto-Zarazua, Genaro M.
    Rivas-Araiza, Edgar A.
    JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2014, 6 (06) : 723 - 738
  • [5] A Survey on Ground Segmentation Methods for Automotive LiDAR Sensors
    Gomes, Tiago
    Matias, Diogo
    Campos, Andre
    Cunha, Luis
    Roriz, Ricardo
    SENSORS, 2023, 23 (02)
  • [6] RF Indoor Positioning System Supported by Wireless Computer Vision Sensors
    Woznica, Przemyslaw
    Tarkowski, Michal
    Plotka, Marek
    Kulas, Lukasz
    2014 20TH INTERNATIONAL CONFERENCE ON MICROWAVES, RADAR, AND WIRELESS COMMUNICATION (MIKON), 2014,
  • [7] Local positioning for wireless sensors based on BluetoothTM
    Castaño, JG
    Svensson, M
    Ekström, M
    RAWCON: 2004 IEEE RADIO AND WIRELESS CONFERENCE, PROCEEDINGS, 2004, : 195 - 198
  • [8] Monocular Vision based Collaborative Localization for Micro Aerial Vehicle Swarms
    Vemprala, Sai
    Saripalli, Srikanth
    2018 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2018, : 315 - 323
  • [9] A TEST ON COLLABORATIVE VISION AND UWB-BASED POSITIONING
    Gurturk, M.
    Masiero, A.
    Toth, C.
    Dabove, P.
    Di Pietra, V.
    Vettore, A.
    Guarnieri, A.
    Cortesi, I.
    Pellis, E.
    Soycan, M.
    GEOSPATIAL WEEK 2023, VOL. 48-1, 2023, : 1185 - 1190
  • [10] Multi-UAV Collaborative Absolute Vision Positioning and Navigation: A Survey and Discussion
    Tong, Pengfei
    Yang, Xuerong
    Yang, Yajun
    Liu, Wei
    Wu, Peiyi
    DRONES, 2023, 7 (04)