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JRM Vol.35 No.6 pp. 1503-1513
doi: 10.20965/jrm.2023.p1503
(2023)

Paper:

Detection and Measurement of Opening and Closing Automatic Sliding Glass Doors

Kazuma Yagi, Yitao Ho, Akihisa Nagata, Takayuki Kiga, Masato Suzuki, Tomokazu Takahashi, Kazuyo Tsuzuki ORCID Icon, Seiji Aoyagi, Yasuhiko Arai, and Yasushi Mae

Kansai University
3-3-35 Yamate-cho, Suita, Osaka 564-8680, Japan

Received:
June 23, 2023
Accepted:
September 20, 2023
Published:
December 20, 2023
Keywords:
automatic sliding glass door detection, autonomous robot, RGB-D camera
Abstract

This paper proposes a method for the recognition of the opened/closed states of automatic sliding glass doors to allow for automatic robot-controlled movement from outdoors to indoors and vice versa by a robot. The proposed method uses an RGB-D camera as a sensor for extraction of the automatic sliding glass doors region and image recognition to determine whether the door is opened or closed. The RGB-D camera measures the distance between the opened or moving door frames, thereby facilitating outdoor to indoor movement and vice versa. Several automatic sliding glass doors under different experimental conditions are experimentally investigated to demonstrate the effectiveness of the proposed method.

Detection of automatic sliding glass doors

Detection of automatic sliding glass doors

Cite this article as:
K. Yagi, Y. Ho, A. Nagata, T. Kiga, M. Suzuki, T. Takahashi, K. Tsuzuki, S. Aoyagi, Y. Arai, and Y. Mae, “Detection and Measurement of Opening and Closing Automatic Sliding Glass Doors,” J. Robot. Mechatron., Vol.35 No.6, pp. 1503-1513, 2023.
Data files:
References
  1. [1] S. Wanayuth, A. Ohya, and T. Tsubouchi, “Parking Place Inspection System Utilizing a Mobile Robot with a Laser Range Finder – Application for Occupancy State Recognition –,” 2012 IEEE/SICE Int. Symp. on System Integration, pp. 55-60, 2012. https://doi.org/10.1109/SII.2012.6426967
  2. [2] M. Bouazizi, A. L. Mora, and T. Ohtsuki, “A 2D-Lidar-Equipped Unmanned Robot-Based Approach for Indoor Human Activity Detection,” Sensors, Vol.23, No.5, Article No.2534, 2023. https://doi.org/10.3390/s23052534
  3. [3] G. Chen, “Robotics Applications at Airports: Situation and Tendencies,” 2022 14th Int. Conf. on Measuring Technology and Mechatronics Automation (ICMTMA), 2022. https://doi.org/10.1109/ICMTMA54903.2022.00114
  4. [4] A. R. Baltazar, M. R. Petry, M. F. Silva, and A. P. Moreira, “Autonomous wheelchair for patient’s transportation on healthcare institutions,” SN Applied Sciences, Vol.3, Article No.354, 2021. https://doi.org/10.1007/s42452-021-04304-1
  5. [5] J. Xue, Z. Li, M. Fukuda, T. Takahashi, M. Suzuki, Y. Mae, Y. Arai, and S. Aoyagi, “Garbage Detection Using YOLOv3 in Nakanoshima Challenge,” J. Robot. Mechatron., Vol.32, No.6, pp. 1200-1210, 2020. https://doi.org/10.20965/jrm.2020.p1200
  6. [6] Y. Mori and K. Nagao, “Automatic Generation of Multidestination Routes for Autonomous Wheelchairs,” J. Robot. Mechatron., Vol.32, No.6, pp. 1121-1136, 2020. https://doi.org/10.20965/jrm.2020.p1121
  7. [7] A. Handa, A. Suzuki, H. Date, R. Mitsudome, T. Tsubouchi, and A. Ohya, “Navigation Based on Metric Route Information in Places Where the Mobile Robot Visits for the First Time,” J. Robot. Mechatron., Vol.31, No.2, pp. 180-193, 2019. https://doi.org/10.20965/jrm.2019.p0180
  8. [8] K. Takahashi, T. Ono, T. Takahashi, M. Suzuki, Y. Arai, and S. Aoyagi, “Performance Evaluation of Robot Localization Using 2D and 3D Point Clouds,” J. Robot. Mechatron., Vol.29, No.5, pp. 928-934, 2017. https://doi.org/10.20965/jrm.2017.p0928
  9. [9] M. Fukuda, T. Takahashi, M. Suzuki, Y. Mae, Y. Arai, and S. Aoyagi, “Proposal of Robot Software Platform with High Sustainability,” J. Robot. Mechatron., Vol.32, No.6, pp. 1219-1228, 2020. https://doi.org/10.20965/jrm.2020.p1219
  10. [10] S. Hoshino and H. Yagi, “Mobile Robot Localization Using Map Based on Cadastral Data for Autonomous Navigation,” J. Robot. Mechatron., Vol.34, No.1, pp. 111-120, 2022. https://doi.org/10.20965/jrm.2022.p0111
  11. [11] Y. Hara, T. Tomizawa, H. Date, Y. Kuroda, and T. Tsubouchi, “Tsukuba Challenge 2019: Task Settings and Experimental Results,” J. Robot. Mechatron., Vol.32, No.6, pp. 1104-1111, 2020. https://doi.org/10.20965/jrm.2020.p1104
  12. [12] L. Alfandari, I. Ljubić, and M. De Melo da Silva, “A tailored Benders decomposition approach for last-mile delivery with autonomous robots,” European J. of Operational Research, Vol.299, pp. 510-525, 2020. https://doi.org/10.1016/j.ejor.2021.06.048
  13. [13] N. Li, L. Guan, Y. Gao, S. Du, M. Wu, X. Guang, and X. Cong, “Indoor and Outdoor Low-Cost Seamless Integrated Navigation System Based on the Integration of INS/GNSS/LIDAR System,” Remote Sensing, Vol.12, No.19, Article No.3271, 2020. https://doi.org/10.3390/rs12193271
  14. [14] Z. Long, Y. Xiang, X. Lei, Y. Li, Z. Hu, and X. Dai, “Integrated Indoor Positioning System of Greenhouse Robot Based on UWB/IMU/ODOM/LIDAR,” Sensors, Vol.22, No.13, Article No.4819, 2022. https://doi.org/10.3390/s22134819
  15. [15] M. Montemerlo and S. Thrun, “Large-Scale Robotic 3-D Mapping of Urban Structures,” Experimental Robotics IX, pp. 141-150, 2006. https://doi.org/10.1007/11552246_14
  16. [16] T. Sakai, K. Koide, J. Miura, and S. Oishi, “Large-scale 3D Outdoor Mapping and On-line Localization using 3D-2D Matching,” 2017 IEEE/SICE Int. Symp. on System Integration, pp. 829-834, 2017. https://doi.org/10.1109/SII.2017.8279325
  17. [17] A. Tourani, H. Bavle, J. L. Sanchez-Lopez, and H. Voos, “Visual SLAM: What Are the Current Trends and What to Expect?,” Sensors, Vol.22, No.23, Article No.9297, 2022. https://doi.org/10.3390/s22239297
  18. [18] X. Wang and J. Wang, “Detecting glass in Simultaneous Localisation and Mapping,” Robotics and Autonomous Systems, Vol.88, pp. 97-103, 2017. https://doi.org/10.1016/j.robot.2016.11.003
  19. [19] G. Cui, M. Chu, W. Wangjun, and S. Li, “Recognition of indoor glass by 3D lidar,” 2021 5th CAA Int. Conf. on Vehicular Control and Intelligence (CVCI), 2021. https://doi.org/10.1109/CVCI54083.2021.9661198
  20. [20] J. Crespo, J. C. Castillo, O. M. Mozos, and R. Barber, “Semantic Information for Robot Navigation: A Survey,” Applied Sciences, Vol.10, No.2, Article No.497, 2020. https://doi.org/10.3390/app10020497
  21. [21] P. Foster, Z. Sun, J. J. Park, and B. Kuipers, “VisAGGE: Visible Angle Grid for Glass Environments,” 2013 IEEE Int. Conf. on Robotics and Automation, 2013. https://doi.org/10.1109/ICRA.2013.6630875
  22. [22] J. Meng, S. Wang, G. Li, L. Jiang, Y. Xie, and C. Liu, “Accurate LiDAR-based Localization in Glass-walled Environment,” IEEE/ASME Int. Conf. on Advanced Intelligent Mechatronics, pp. 534-539, 2020. https://doi.org/10.1109/AIM43001.2020.9158915
  23. [23] R. Muñoz-Salinas, E. Aguirre, and M. García-Silvente, “Detection of doors using a genetic visual fuzzy system for mobile robots,” Dordrecht, Vol.21, Issue 2, pp. 123-141, 2006. https://doi.org/10.1007/s10514-006-7847-8
  24. [24] X. Yang and Y. Tian, “Robust Door Detection in Unfamiliar Environments by Combining Edge and Corner Features,” 2010 IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, 2010. https://doi.org/10.1109/CVPRW.2010.5543830
  25. [25] K. Prompol, C.-Y. Lin, S. Ruengittinun, H.-F. Ng, and T. Shin, “Automatic Door Detection of Convenient Stores based on Association Relations,” 2021 IEEE Int. Conf. on Consumer Electronics-Taiwan (ICCE-TW), 2021. https://doi.org/10.1109/ICCE-TW52618.2021.9603237

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