Journal of Optoelectronics · Laser, Volume. 33, Issue 1, 14(2022)

A SLAM method for feature point matching network based on attention mechanism

ZU Chenyang1, LIU Fenglian1、*, and WANG Riwei2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(12)

    [1] [1] DURRANT-WHYTE H,BAILEY T,BAILEY T,et al.Simultaneous localizationand mapping (SLAM):PartII[J].IEEE Robotics& Automation Magazine,2006,13(3):108-117.

    [2] [2] DAVISON A J,REID I D, MOLTON N D, et al. MonoSLAM: real-time single camera SLAM[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2007, 29(6):1052-1067.

    [3] [3] KLEIN G, MURRAY D. Parallel tracking and mapping for small AR workspaces[C]//6th IEEE and ACM International Symposium on Mixed and Augmented Reality, November 13-16, 2007, Nara, Japan. New York: IEEE, 2007: 225-234.

    [4] [4] ENGEL J, SCHPS T, CREMERS D. LSD-SLAM:Large-scale direct monocular SLAM[C]//13th European Conference on Computer Vision,September 6-12, 2014,Zurich,Switzerland.Berlin:Springer,2014:834-849.

    [5] [5] RUBLEE E, RABAUD V, KONOLIGE K, et al. ORB: An efficient alternative to SIFT or SURF[C]//International Conference on Computer Vision, November 6-13, 2011,Barcelona,Spain.New York: IEEE,2011:564-2571.

    [6] [6] RAUL M A.ORB-SLAM:a versatile and accurate monocular SLAM system[J].IEEE Transactions on Robotics,2017,31(5):1147-1163.

    [8] [8] KEISUKE T,FEDERICO T,IRO L,et al.CNN-SLAM: Real-time dense monocular SLAM with learneddepth prediction[J].2017:6565-6574.

    [9] [9] KENDALL A, GRIMES M, CIPOLLA R. PoseNet: A convolutional network for real-time 6-dof camera relocalization[C]//IEEE International Conference on Computer Vision, February 7-13,2015,Santiago,Chile.New York: IEEE, 2015:2938-2946.

    [10] [10] UMMENHOFER B, ZHOU H, UHRIG J, et al. DeMoN: Depth and Motion Network for Learning Monocular Stereo[C]//IEEE Conference on Computer Vision and Pattern Recognition, July 21-26,2017,Honolulu,HI,USA.New York: IEEE,2017:5622-5631.

    [11] [11] GAN Y, ZHANG J H, CHEN K Q, et al. A dynamic detection method to improve SLAM performance[J].Optoelectronis Letters,2021,17(11): 693-698.

    [12] [12] LUO Y, XIAO Y T, ZHANG Y, et al. Detection of loop closure in visual SLAM: a stacked assorted auto-encoder based approach [J].Optoelectronis Letters,2021,17(6): 354-360.

    [16] [16] SARLIN P E, DETONE D, MALISIEWICZ T, et al. SuperGlue: learning feature matching with graph neural networks[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 14-19, 2020,Seattle,WA,USA.New York: IEEE, 2020: 4937-4946.

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    ZU Chenyang, LIU Fenglian, WANG Riwei. A SLAM method for feature point matching network based on attention mechanism[J]. Journal of Optoelectronics · Laser, 2022, 33(1): 14

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    Paper Information

    Received: Aug. 10, 2021

    Accepted: --

    Published Online: Oct. 9, 2024

    The Author Email: LIU Fenglian (lflian@tjut.edu.cn)

    DOI:10.16136/j.joel.2022.01.0563

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