KIEE - The Transactions of the Korean Institute of Electrical Engineers

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S. Carpin, A. Birk, V. Juncikas, “On map merging,” Robotics and Autonomous Systems, vol. 53, no. 1, pp. 1~14, 2005. DOI:10.1016/j.robot.2005.07.001

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S. Yu, C. Fu, A. K. Gostar, and M. Hu, “A Review on Map-Merging Methods for Typical Map Types in Multiple-Ground-Robot SLAM Solutions,” Sensors, vol. 20, no. 23, pp. 1~20, 2020. DOI:10.3390/s20236988

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I. Andersone, “Heterogeneous Map Merging: State of the Art,” Robotics, vol. 8, no. 3, pp. 1~29, 2019. https://doi.org/10.3390/robotics8030074

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S. Lee, H. Kim, and B. Lee, “An Efficient Rescue System with Online Multi-Agent SLAM Framework,” Sensors, vol. 20, no. 1, pp. 1~17, 2019. DOI:10.3390/s20010235

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J. Vaščák, D. Herich, “Map Merging for Multi-Robotic Applications,” 2023 IEEE 21st World Symposium on Applied Machine Intelligence and Informatics (SAMI), pp. 21~26, 2023. DOI:10.1109/SAMI58000.2023.10044522

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A. Birk, S. Carpin, “Merging Occupancy Grid Maps from Multiple Robots,” Proceedings of the IEEE, vol. 94, no. 7, pp. 1384~1397, 2006. DOI:10.1109/JPROC.2006.876965

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S. Carpin, “Fast and accurate map merging for multi-robot systems,” Autonomous Robots, vol. 25, no. 3, pp. 305~316, 2008. DOI:10.1007/s10514-008-9097-4.

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L. Ma, J. Zhu, L. Zhu, S. Du, J. Cui, “Merging Grid Maps of Different Resolutions by Scaling Registration,” Robotica, vol. 34, no. 11, pp. 2516~2531, 2016. DOI:10.1017/S0263574715000168

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S. Topal, D. Erkmen, A. M. Erkmen, “A Novel Map Merging Methodology for Multi-Robot Systems,” in Proceedings of the World Congress on Engineering and Computer Science, San Francisco, CA, USA, vol. I, pp. 383~387, October 2010.

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Z. Jiang, J. Zhu, C. Jin, S. Xu, Y. Zhou, and S. Pang, “Simultaneously merging multi-robot grid maps at different resolutions,” Multimedia Tools and Applications, vol. 79, pp. 14553~14572, 2020. DOI:10.1007/s11042-018-7109-8

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H. Lee, S. Lee, “Extended Spectra-Based Grid Map Merging With Unilateral Observations for Multi-Robot SLAM,” IEEE Access, vol. 9, pp. 79651~79662, 2021. DOI:10.1007/s11042-018-7109-8

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H. Lee, S. Lee, “Grid Map Merging with Insufficient Overlapping Areas for Efficient Multi-Robot Systems with Unknown Initial Correspondences,” 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 1427~1432, Oct. 2020. DOI:10.1109/SMC42975.2020.9282932

13

S. Yu, C. Fu, A. K. Gostar, and M. Hu, “A Review on Map-Merging Methods for Typical Map Types in Multiple-Ground-Robot SLAM Solutions,” Sensors, vol. 20, no. 23, pp. 1~20, 2020. DOI:10.3390/s20236988

14

S. Sunil, S. Mozaffari, R. Singh, B. Shahrrava and S. Alirezaee, “Feature-Based Occupancy Map-Merging for Collaborative SLAM,” Sensors, vol. 23, no. 6, pp. 1~21, 2023. DOI:10.3390/s23063114

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K. Konolige, “Large-Scale Map-Making,” Proceedings of the National Conference on Artificial Intelligence (AAAI), pp. 457~463, 2004. DOI:10.1109/ACCESS.2021.3083936

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Q. Sun, T. Liao, H. Du, Y. Zhao and C. C. Chen, “A Method of Merging Maps for MUAVs Based on an Improved Genetic Algorithm,” Sensors, vol. 23, no. 1, pp. 1~15, 2023. DOI:10.3390/s23010447

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MD T. A. Ratul, M. S. A. Mahmud, M. S. Z. Abidin, and R. Ayop, “Design and development of GMapping based SLAM algorithm in virtual agricultural environment,” Proceedings of the 2021 11th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), pp. 109~113, 2021. DOI:10.1109/ICCSCE52189.2021.9530991

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H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool, “Speeded-up robust features (SURF),” Computer Vision and Image Understanding, vol. 110, no. 3, pp. 346~359, 2008. DOI:10.1016/j.cviu.2007.09.014

KIEEThe Transactions of
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KIEEThe Transactions ofthe Korean Institute of Electrical Engineers