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ArUco İşaretleyicileri Kullanarak Mobil Robotlar İçin Çoklu Kamera Tabanli İç Mekan Konum Tespiti ve Yol Optimizasyonu

Yıl 2025, Cilt: 12 Sayı: 3, 339 - 355, 30.09.2025

Öz

Öz: GPS sinyallerinin bulunmadığı iç mekanlarda, mobil robot konumlarını belirlemek zordur. Yaygın yöntemler arasında SLAM, işaretleyici tabanlı yerelleştirme, eylemsiz ölçüm birimleri (IMU'lar) ve hibrit konumlandırma sistemleri (HPS) bulunur. SLAM eş zamanlı yerelleştirme ve haritalama sağlarken, işaretleyici tabanlı yerelleştirme konum tespiti için belirli işaretleyiciler kullanır. IMU'lar hareketi hız, ivme ve açısal hız yoluyla izler ve HPS, gelişmiş doğruluk için sensörleri birleştirir.

Bu çalışma, Cordoba Üniversitesi'nden ArUco işaretleyicileri kullanarak bir rota planlama ve hareket optimizasyon yöntemi geliştirmektedir. Görüntü işleme yoluyla tespit edilen bu işaretleyiciler, robotları hedeflere en kısa ve en güvenli yolları hesaplayarak yönlendirir. Birden fazla kamera hareket aralığını ve görüşü iyileştirirken, otomatik bir pan ayarlaması çakışmaları ve hizalama sorunlarını ele alarak sorunsuz görüntü entegrasyonunu sağlar. Önerilen yöntem, çok kameralı sistemlerin güvenilir iç mekan navigasyonu için potansiyelini göstererek endüstriyel ve hizmet alanlarında umut verici uygulamalar sunar.

Etik Beyan

Dear Sir, We sent our publication to a journal in Springer before your journal. Springer made a pre-screening on ResearchSquare due to its bilateral agreement with ResearchSquare at this stage. However, the journal rejected it and ResearchSquare does not remove the pre-screening. They gave us the following response regarding this issue: Dear Abdulhamit Sevgi, Thank you for contacting us about your Research Square preprint. Your preprint was posted because you selected the optional In Review service when you submitted your manuscript to a Springer Nature journal. Research Square preprints cannot be removed since they have been assigned a Digital Object Identifier (DOI) and have a permanent digital presence on the internet. We understand that you may have some concerns about posting your work on the Research Square Platform. Please be assured that you have many publication options while your preprint remains posted. Here are some facts about your preprint: Our preprints are published under a CC-BY 4.0 license, meaning the author retains full copyright of their work. DOIs issued by Research Square have a specific DOI structure for preprints. This allows them to be linked to the final published journal article. Preprints can be revised. A preprint is an author's early version of their manuscript. Therefore, publication of the final paper in a journal is not considered plagiarism or self-plagiarism. In the future, please consider the following before submitting your manuscript for publication: Ensure that the journal you are submitting to accepts manuscripts that have been previously been posted to a preprint server. These policies are typically located in the author guidelines. Provide the preprint DOI link in your cover letter. This will direct the journal to the existing preprint so they can exclude it from any similarity checks.

Kaynakça

  • [1] H. Sahib Hasan, M. Hussein, S. Mad Saad, and M. Azuwan Mat Dzahir, “An Overview of Local Positioning System: Technologies, Techniques and Applications,” International Journal of Engineering & Technology, vol. 7, no. 3.25, p. 1, Aug. 2018. DOI: 10.14419/ijet.v7i3.25.17459.
  • [2] A. Francis, A. Akinnusotu, and A. Adeyemi, “Global Positioning System and It’s Wide Applications,” Continental J. Information Technology, vol. 9, no. 1, pp. 22–32, Oct. 2015.
  • [3] N. Syazwani C. J., A.Wahab, N. Sunar, H. Syed, K. Y.Wong, and Y. Aun, “Indoor Positioning System: A Review,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 6, Jan. 2022. DOI: 10.14569/ijacsa.2022.0130659.
  • [4] S. Bastiaens, M. Alijani, W. Joseph, and D. Plets, “Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial,” IEEE Communications Surveys & Tutorials, vol. 26, no. 4, pp. 2867–2913, Fourth Quarter 2024. DOI: 10.1109/COMST.2024.3372153.
  • [5] X. Zhu, W. Qu, T. Qiu, L. Zhao, M. Atiquzzaman, and D. O. Wu, “Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges,” IEEE Communications Surveys & Tutorials, vol. 22, no. 4, pp. 2634–2657, Fourth Quarter 2020. DOI: 10.1109/COMST.2020.3014304.
  • [6] X. Feng, S. Liu, Q. Yuan, J. Xiao, and D. Zhao, “Research on wheel-legged robot based on LQR and ADRC,” Scientific Reports, vol. 13, no. 1, p. 15122, Sep. 2023. DOI: 10.1038/s41598-023-41462-1.
  • [7] O. Marques, Practical Image and Video Processing Using MATLAB®, Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. DOI: 10.1002/9781118093467.
  • [8] A. Babinec, L. Jurišica, P. Hubinsky, and F. Duchon, “Visual Localization of Mobile Robot Using Artificial Markers,” Procedia Engineering, vol. 96, pp. 1–9, 2014. DOI: 10.1016/j.proeng.2014.12.091.
  • [9] G. Bradski and A. Kaehler, Learning OpenCV, O’Reilly Media, Inc., 2008.
  • [10] M. Fiala, “ARTag, a fiducial marker system using digital techniques,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2005, pp. 590–596. DOI: 10.1109/CVPR.2005.74.
  • [11] E. Tola, “Real-Time UAV Pose Estimation and Tracking Using FPGA Accelerated April Tag,” RIT Digital Institutional Repository, 2021. URL: https : //repository.rit.edu/theses/10853.
  • [12] M. Nahangi, A. Heins, B. McCabe, and A. P. Schoellig, “Automated Localization of UAVs in GPS-Denied Indoor Construction Environments Using Fiducial Markers,” Proceedings of ISARC, Jul. 2018. DOI: 10.22260/isarc2018/0012.
  • [13] I. Ullah, D. Adhikari, H. Khan, M. Shahid Anwar, S. Ahmad, and X. Bai, “Mobile robot localization: Current challenges and future prospective,” Computer Science Review, vol. 53, Aug. 2024. DOI: 10.1016/j.cosrev.2024.100651.
  • [14] A. Sampathkrishna, “ArUco Marker-based localization and Node graph approach to mapping,” arXiv.org, Aug. 2022. URL:https : //arxiv.org/abs/2208.09355.
  • [15] J. Kim, Y. Jeong, H. Lee, and H. Yun, “Marker-Based Structural Displacement Measurement Models with Camera Movement Error Correction Using Image Matching and Anomaly Detection,” Sensors, vol. 20, no. 19, p. 5676, Oct. 2020. DOI: 10.3390/s20195676.
  • [16] H. Bin, L. W. Zhen, and L. H. Feng, “The Kinematics Model of a Two-Wheeled Self-Balancing Autonomous Mobile Robot and Its Simulation,” Proceedings of the International Conference on Computer Engineering and Applications, 2010, pp. 64–68. DOI: 10.1109/ICCEA.2010.169.
  • [17] W. Burger and M. J. Burge, “Scale-Invariant Feature Transform (SIFT)”, Texts in Computer Science, pp. 709–763, Jan. 2022. DOI: 10.1007/978-3-031-05744- 1_25.
  • [18] W. Cui, Q. Liu, L. Zhang, H. Wang, X. Lu, and J. Li, “A robust mobile robot indoor positioning system based on Wi-Fi,” International Journal of Advanced Robotic Systems, vol. 17, no. 1, p. 172988141989666, Jan. 2020. DOI: 10.1177/1729881419896660.
  • [19] D. R. Philips, E. Salami, H. Ramiah, and J. Kanesan, “Location Accuracy Optimization in Bluetooth Low Energy (BLE) 5.1-Based Indoor Positioning System (IPS)—A Machine Learning Approach,” IEEE Access, vol. 11, pp. 140186–140201, 2023. DOI: 10.1109/ACCESS.2023.3338358.
  • [20] F. Jiang, D. Caruso, A. Dhekne, Q. Qu, J. J. Engel, and J. Dong, “Robust Indoor Localization with Ranging-IMU Fusion,” arXiv, Cornell University, Jan. 2023. DOI: 10.48550/arxiv.2309.08803.
  • [21] M. Faeik, S. Junginger, T. Roddelkopf, and K. Thurow, “UWB-Based Real-Time Indoor Positioning Systems: A Comprehensive Review,” Applied Sciences, vol. 14, no. 23, pp. 11005–11005, Nov. 2024. DOI: 10.3390/app142311005.
  • [22] S. Roos-Hoefgeest, I. A. Garcia, and R. C. Gonzalez, “Mobile robot localization in industrial environments using a ring of cameras and ArUco markers,” Proceedings of IECON 2021-47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 2021, pp. 1–6. DOI: 10.1109/IECON48115.2021.9589442. ECJSE

Multicamera-Based Indoor Localization and Path Optimization for Mobile Robots Using ArUco Markers

Yıl 2025, Cilt: 12 Sayı: 3, 339 - 355, 30.09.2025

Öz

Abstract : In indoor environments where GPS signals are unavailable, determining mobile robot positions is challenging. Common methods include SLAM, marker-based localization, inertial measurement units (IMUs), and hybrid positioning systems (HPS). SLAM enables simultaneous localization and mapping, while marker-based localization uses specific markers for position detection. IMUs track motion via velocity, acceleration, and angular velocity, and HPS combines sensors for improved accuracy.

This study develops a route planning and motion optimization method using ArUco markers from the University of Córdoba. Detected via image processing, these markers guide robots by calculating the shortest and safest paths to targets. Multiple cameras enhance motion range and vision, while an automatic pan adjustment addresses overlaps and alignment issues, ensuring seamless image integration. The proposed method demonstrates the potential of multi-camera systems for reliable indoor navigation, offering promising applications in industrial and service domains.

Etik Beyan

Dear Sir, We sent our publication to a journal in Springer before your journal. Springer made a pre-screening on ResearchSquare due to its bilateral agreement with ResearchSquare at this stage. However, the journal rejected it and ResearchSquare does not remove the pre-screening. They gave us the following response regarding this issue: Dear Abdulhamit Sevgi, Thank you for contacting us about your Research Square preprint. Your preprint was posted because you selected the optional In Review service when you submitted your manuscript to a Springer Nature journal. Research Square preprints cannot be removed since they have been assigned a Digital Object Identifier (DOI) and have a permanent digital presence on the internet. We understand that you may have some concerns about posting your work on the Research Square Platform. Please be assured that you have many publication options while your preprint remains posted. Here are some facts about your preprint: Our preprints are published under a CC-BY 4.0 license, meaning the author retains full copyright of their work. DOIs issued by Research Square have a specific DOI structure for preprints. This allows them to be linked to the final published journal article. Preprints can be revised. A preprint is an author's early version of their manuscript. Therefore, publication of the final paper in a journal is not considered plagiarism or self-plagiarism. In the future, please consider the following before submitting your manuscript for publication: Ensure that the journal you are submitting to accepts manuscripts that have been previously been posted to a preprint server. These policies are typically located in the author guidelines. Provide the preprint DOI link in your cover letter. This will direct the journal to the existing preprint so they can exclude it from any similarity checks.

Kaynakça

  • [1] H. Sahib Hasan, M. Hussein, S. Mad Saad, and M. Azuwan Mat Dzahir, “An Overview of Local Positioning System: Technologies, Techniques and Applications,” International Journal of Engineering & Technology, vol. 7, no. 3.25, p. 1, Aug. 2018. DOI: 10.14419/ijet.v7i3.25.17459.
  • [2] A. Francis, A. Akinnusotu, and A. Adeyemi, “Global Positioning System and It’s Wide Applications,” Continental J. Information Technology, vol. 9, no. 1, pp. 22–32, Oct. 2015.
  • [3] N. Syazwani C. J., A.Wahab, N. Sunar, H. Syed, K. Y.Wong, and Y. Aun, “Indoor Positioning System: A Review,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 6, Jan. 2022. DOI: 10.14569/ijacsa.2022.0130659.
  • [4] S. Bastiaens, M. Alijani, W. Joseph, and D. Plets, “Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial,” IEEE Communications Surveys & Tutorials, vol. 26, no. 4, pp. 2867–2913, Fourth Quarter 2024. DOI: 10.1109/COMST.2024.3372153.
  • [5] X. Zhu, W. Qu, T. Qiu, L. Zhao, M. Atiquzzaman, and D. O. Wu, “Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges,” IEEE Communications Surveys & Tutorials, vol. 22, no. 4, pp. 2634–2657, Fourth Quarter 2020. DOI: 10.1109/COMST.2020.3014304.
  • [6] X. Feng, S. Liu, Q. Yuan, J. Xiao, and D. Zhao, “Research on wheel-legged robot based on LQR and ADRC,” Scientific Reports, vol. 13, no. 1, p. 15122, Sep. 2023. DOI: 10.1038/s41598-023-41462-1.
  • [7] O. Marques, Practical Image and Video Processing Using MATLAB®, Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. DOI: 10.1002/9781118093467.
  • [8] A. Babinec, L. Jurišica, P. Hubinsky, and F. Duchon, “Visual Localization of Mobile Robot Using Artificial Markers,” Procedia Engineering, vol. 96, pp. 1–9, 2014. DOI: 10.1016/j.proeng.2014.12.091.
  • [9] G. Bradski and A. Kaehler, Learning OpenCV, O’Reilly Media, Inc., 2008.
  • [10] M. Fiala, “ARTag, a fiducial marker system using digital techniques,” Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2005, pp. 590–596. DOI: 10.1109/CVPR.2005.74.
  • [11] E. Tola, “Real-Time UAV Pose Estimation and Tracking Using FPGA Accelerated April Tag,” RIT Digital Institutional Repository, 2021. URL: https : //repository.rit.edu/theses/10853.
  • [12] M. Nahangi, A. Heins, B. McCabe, and A. P. Schoellig, “Automated Localization of UAVs in GPS-Denied Indoor Construction Environments Using Fiducial Markers,” Proceedings of ISARC, Jul. 2018. DOI: 10.22260/isarc2018/0012.
  • [13] I. Ullah, D. Adhikari, H. Khan, M. Shahid Anwar, S. Ahmad, and X. Bai, “Mobile robot localization: Current challenges and future prospective,” Computer Science Review, vol. 53, Aug. 2024. DOI: 10.1016/j.cosrev.2024.100651.
  • [14] A. Sampathkrishna, “ArUco Marker-based localization and Node graph approach to mapping,” arXiv.org, Aug. 2022. URL:https : //arxiv.org/abs/2208.09355.
  • [15] J. Kim, Y. Jeong, H. Lee, and H. Yun, “Marker-Based Structural Displacement Measurement Models with Camera Movement Error Correction Using Image Matching and Anomaly Detection,” Sensors, vol. 20, no. 19, p. 5676, Oct. 2020. DOI: 10.3390/s20195676.
  • [16] H. Bin, L. W. Zhen, and L. H. Feng, “The Kinematics Model of a Two-Wheeled Self-Balancing Autonomous Mobile Robot and Its Simulation,” Proceedings of the International Conference on Computer Engineering and Applications, 2010, pp. 64–68. DOI: 10.1109/ICCEA.2010.169.
  • [17] W. Burger and M. J. Burge, “Scale-Invariant Feature Transform (SIFT)”, Texts in Computer Science, pp. 709–763, Jan. 2022. DOI: 10.1007/978-3-031-05744- 1_25.
  • [18] W. Cui, Q. Liu, L. Zhang, H. Wang, X. Lu, and J. Li, “A robust mobile robot indoor positioning system based on Wi-Fi,” International Journal of Advanced Robotic Systems, vol. 17, no. 1, p. 172988141989666, Jan. 2020. DOI: 10.1177/1729881419896660.
  • [19] D. R. Philips, E. Salami, H. Ramiah, and J. Kanesan, “Location Accuracy Optimization in Bluetooth Low Energy (BLE) 5.1-Based Indoor Positioning System (IPS)—A Machine Learning Approach,” IEEE Access, vol. 11, pp. 140186–140201, 2023. DOI: 10.1109/ACCESS.2023.3338358.
  • [20] F. Jiang, D. Caruso, A. Dhekne, Q. Qu, J. J. Engel, and J. Dong, “Robust Indoor Localization with Ranging-IMU Fusion,” arXiv, Cornell University, Jan. 2023. DOI: 10.48550/arxiv.2309.08803.
  • [21] M. Faeik, S. Junginger, T. Roddelkopf, and K. Thurow, “UWB-Based Real-Time Indoor Positioning Systems: A Comprehensive Review,” Applied Sciences, vol. 14, no. 23, pp. 11005–11005, Nov. 2024. DOI: 10.3390/app142311005.
  • [22] S. Roos-Hoefgeest, I. A. Garcia, and R. C. Gonzalez, “Mobile robot localization in industrial environments using a ring of cameras and ArUco markers,” Proceedings of IECON 2021-47th Annual Conference of the IEEE Industrial Electronics Society, Toronto, ON, Canada, 2021, pp. 1–6. DOI: 10.1109/IECON48115.2021.9589442. ECJSE
Toplam 22 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik Uygulaması
Bölüm Araştırma Makaleleri
Yazarlar

Abdulhamit Sevgi 0000-0003-3567-848X

H. Erdinç Koçer 0000-0002-0799-2140

Yayımlanma Tarihi 30 Eylül 2025
Gönderilme Tarihi 6 Ocak 2025
Kabul Tarihi 7 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 12 Sayı: 3

Kaynak Göster

IEEE A. Sevgi ve H. E. Koçer, “Multicamera-Based Indoor Localization and Path Optimization for Mobile Robots Using ArUco Markers”, ECJSE, c. 12, sy. 3, ss. 339–355, 2025.