Landmark Design for Indoor Localization of Mobile Robots

被引:0
|
作者
Wang, Longhui [1 ,2 ]
Gao, Bingwei [1 ,2 ]
Jia, Yingmin [1 ,2 ,3 ]
机构
[1] Beihang Univ BUAA, Res Div 7, Beijing 100191, Peoples R China
[2] Beihang Univ BUAA, Dept Syst & Control, Beijing 100191, Peoples R China
[3] Beihang Univ BUAA, SMSS, Key Lab Math Informat & Behav Semant LMIB, Beijing 100191, Peoples R China
关键词
Landmarks; Mobile robots; Localization; Image processing; NAVIGATION;
D O I
10.1007/978-3-642-38460-8_60
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper focuses on the landmark design for mobile robot localization in indoor environment. A design method with two types of landmarks, which are color landmarks and black landmarks, is proposed. Particularly, the color landmarks are elaborately encoded by four types of distinctive colors. All the landmarks are installed on the ceiling in a special way so that the mobile robot can uniquely localize itself by observing the ceiling landmarks. In addition, an image processing algorithm is presented to identify the landmarks, and a localization algorithm is proposed to calculate the position and orientation of the mobile robot using the information of the identified landmarks.
引用
收藏
页码:543 / 550
页数:8
相关论文
共 50 条
  • [31] Landmark design and real-time landmark tracking for mobile robot localization
    Yoon, KJ
    Kweon, IS
    [J]. MOBILE ROBOTS XVI, 2002, 4573 : 219 - 226
  • [32] Design and Integration of a Modular Platform for Indoor Mobile Robots
    Zhang Zhen
    Cao Qixin
    Lo, Charles
    [J]. INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL : ICACC 2009 - PROCEEDINGS, 2009, : 560 - 565
  • [33] A single landmark based localization algorithm for non-holonomic mobile robots
    Sert, Hugues
    Koekoesy, Annemarie
    Perruquetti, Wilfrid
    [J]. 2011 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2011,
  • [34] An Indoor Global Localization Technique for Mobile Robots in Long Straight Environments
    Zeng, Lingdong
    Guo, Shuai
    Xu, Zhen
    Zhu, Mengmeng
    [J]. IEEE ACCESS, 2020, 8 : 209644 - 209656
  • [35] Comparative Study of Two Localization Approaches for Mobile Robots in an Indoor Environment
    Alhamdi, Eman
    Hedjar, Ramdane
    [J]. JOURNAL OF ROBOTICS, 2022, 2022
  • [36] Robust Trilateration Based Indoor Localization Method for Omnidirectional Mobile Robots
    Marton, Lorinc
    Nagy, Csaba
    Biro-Ambrus, Zalan
    [J]. 2016 EUROPEAN CONTROL CONFERENCE (ECC), 2016, : 2547 - 2552
  • [37] A Novel Localization Method based on Sharp Corners for Indoor Mobile Robots
    Yang, Wei
    Yang, Guilin
    Chang, Hao
    Zhang, Huijuan
    Yang, Xing
    [J]. PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2016, : 1892 - 1897
  • [38] A Reliable Range-free Indoor Localization Method for Mobile Robots
    Lee, Yu-Cheol
    [J]. 2015 INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2015, : 720 - 727
  • [39] Scene Recognition for Indoor Localization of Mobile Robots Using Deep CNN
    Wozniak, Piotr
    Afrisal, Hadha
    Esparza, Rigel Galindo
    Kwolek, Bogdan
    [J]. COMPUTER VISION AND GRAPHICS ( ICCVG 2018), 2018, 11114 : 137 - 147
  • [40] An Improved Indoor Localization System for Mobile Robots Based on Landmarks on the Ceiling
    Lan, Gongwen
    Wang, Jingchuan
    Chen, Weidong
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2016, : 1395 - 1400