• Laser & Optoelectronics Progress
  • Vol. 62, Issue 10, 1015007 (2025)
Wenxuan Deng1, Jianwu Dang1,2,*, and Jiu Yong2
Author Affiliations
  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
  • 2National Virtual Simulation Experimental Teaching Center for Rail Transit Information and Control, Lanzhou 730070, Gansu , China
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    DOI: 10.3788/LOP242050 Cite this Article Set citation alerts
    Wenxuan Deng, Jianwu Dang, Jiu Yong. Dynamic SLAM Algorithm Based on Object Detection and Point-Line Feature Association[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015007 Copy Citation Text show less
    References

    [1] Guo Z Y, Xu F, Wang G Y et al. 3D modeling system of mobile robot based on virtual reality in real environment[J]. Laser & Optoelectronics Progress, 60, 0233001(2023).

    [2] Li Y, Wu H B, Li W et al. Visual SLAM algorithm based on weighted static in dynamic environment[J]. Laser & Optoelectronics Progress, 61, 0437003(2024).

    [3] Liu W H, Sun L Y, Li Q X et al. SLAM algorithm with tight coupling of vision and LiDAR odometer[J]. Laser & Optoelectronics Progress, 60, 1428006(2023).

    [4] Nie D D, Li X D, Cheng X X et al. Optimization of laser SLAM and high precision 3D map construction based on hybrid loop calibration[J]. Laser & Optoelectronics Progress, 61, 2428007(2024).

    [5] Chen M F, Huang L E, Wang S et al. Survey of research on visual odometry technology for mobile robots[J]. Transactions of the Chinese Society for Agricultural Machinery, 55, 1-20(2024).

    [6] Al-Tawil B, Hempel T, Abdelrahman A et al. A review of visual SLAM for robotics: evolution, properties, and future applications[J]. Frontiers in Robotics and AI, 11, 1347985(2024).

    [7] Cai D P, Li R Q, Hu Z H et al. A comprehensive overview of core modules in visual SLAM framework[J]. Neurocomputing, 590, 127760(2024).

    [8] Huang Y Z, Ke F Y. Research on visual SLAM method for indoor dynamic scenes based on YOLOv8[J/OL]. Journal of Nanjing University of Information Science & Technology, 1-11. https://kns.cnki.net/kcms/detail/32.1801.N.20241009.1648.002.html

    [9] Yu C, Liu Z X, Liu X J et al. DS-SLAM: a semantic visual SLAM towards dynamic environments[C], 1168-1174(2018).

    [10] Bescos B, Fácil J M, Civera J et al. DynaSLAM: tracking, mapping, and inpainting in dynamic scenes[J]. IEEE Robotics and Automation Letters, 3, 4076-4083(2018).

    [11] He K M, Gkioxari G, Dolla´r P et al. Mask R-CNN[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 386-397(2020).

    [12] Palazzolo E, Behley J, Lottes P et al. ReFusion: 3D reconstruction in dynamic environments for RGB-D cameras exploiting residuals[C], 7855-7862(2019).

    [13] Zins M, Simon G, Berger M O. OA-SLAM: leveraging objects for camera relocalization in visual SLAM[C], 720-728(2022).

    [14] Campos C, Elvira R, Rodríguez J J G et al. ORB-SLAM3: an accurate open-source library for visual, visual-inertial, and multimap SLAM[J]. IEEE Transactions on Robotics, 37, 1874-1890(2021).

    [15] Zhang X Z, Shen T, Xu D. Remote-sensing image object detection based on improved YOLOv8 algorithm[J]. Laser & Optoelectronics Progress, 61, 1028001(2024).

    [16] Yang F, Ding Z T, Xing M M et al. Review of object detection algorithm improvement in deep learning[J]. Computer Engineering and Applications, 59, 1-15(2023).

    [17] Zhang Y T, Huang D Q, Wang D W et al. Review on research and application of deep learning-based target detection algorithms[J]. Computer Engineering and Applications, 59, 1-13(2023).

    [18] Koonce B. MobileNetV3[M]. Convolutional neural networks with swift for tensorflow, 125-144(2021).

    [19] Yang L X, Zhang R Y, Li L D et al. SimAM: a simple, parameter- free attention module for convolutional neural networks[C], 11863-11874(2021).

    [20] Bujanca M, Lennox B, Luján M. ACEFusion-accelerated and energy-efficient semantic 3D reconstruction of dynamic scenes[C], 11063-11070(2022).

    [21] Lee J H, Lee S, Zhang G X et al. Outdoor place recognition in urban environments using straight lines[C], 5550-5557(2014).

    [22] Xie H Y, Zhang D, Wang J et al. Semi-direct multimap SLAM system for real-time sparse 3-D map reconstruction[J]. IEEE Transactions on Instrumentation and Measurement, 72, 4502013(2023).

    Wenxuan Deng, Jianwu Dang, Jiu Yong. Dynamic SLAM Algorithm Based on Object Detection and Point-Line Feature Association[J]. Laser & Optoelectronics Progress, 2025, 62(10): 1015007
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