A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 9 Issue 6
Jun.  2022

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 11.8, Top 4% (SCI Q1)
    CiteScore: 17.6, Top 3% (Q1)
    Google Scholar h5-index: 77, TOP 5
Turn off MathJax
Article Contents
J. Liang, Y. X. Wang, Y. J. Chen, B. J. Yang, and D. F. Liu, “A triangulation-based visual localization for field robots,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 1083–1086, Jun. 2022. doi: 10.1109/JAS.2022.105632
Citation: J. Liang, Y. X. Wang, Y. J. Chen, B. J. Yang, and D. F. Liu, “A triangulation-based visual localization for field robots,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 1083–1086, Jun. 2022. doi: 10.1109/JAS.2022.105632

A Triangulation-Based Visual Localization for Field Robots

doi: 10.1109/JAS.2022.105632
More Information
  • loading
  • [1]
    D. Liu, Y. Cui, X. Guo, W. Ding, B. Yang, and Y. Chen, “Visual localization for autonomous driving: Mapping the accurate location in the city maze,” in Proc. IEEE 25th Int. Conf. Pattern Recognition, 2021, pp. 3170–3177.
    [2]
    D. Liu, Y. Cui, Z. Cao, and Y. Chen, “Indoor navigation for mobile agents: A multimodal vision fusion model,” in Proc. IEEE Int. Joint Conf. Neural Networks, 2020, pp. 1–8.
    [3]
    H. Wang, W. Wang, T. Shu, W. Liang, and J. Shen, “Active visual information gathering for vision-language navigation,” in Proc. European Conf. Computer Vision. Springer, 2020, pp. 307–322.
    [4]
    L. Liu, H. Li, and Y. Dai, “Stochastic attraction-repulsion embedding for large scale image localization,” in Proc. IEEE Int. Conf. Computer Vision, 2019, pp. 2570–2579.
    [5]
    H. Wang, W. Wang, W. Liang, C. Xiong, and J. Shen, “Structured scene memory for vision-language navigation,” in Proc. IEEE/CVF Conf. Computer Vision and Pattern Recognition, 2021, pp. 8455–8464.
    [6]
    H. Wang, W. Wang, X. Zhu, J. Dai, and L. Wang, “Collaborative visual navigation,” arXiv preprint arXiv: 2107.01151, 2021.
    [7]
    D. Liu, Y. Cui, L. Yan, C. Mousas, B. Yang, and Y. Chen, “DenserNet: Weakly supervised visual localization using multi-scale feature aggregation,” in Proc. AAAI Conf. Artificial Intelligence , vol. 35, no. 7, pp. 6101–6109, May 2021.
    [8]
    P.-E. Sarlin, C. Cadena, R. Siegwart, and M. Dymczyk, “From coarse to fine: Robust hierarchical localization at large scale,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2019, pp. 12716–12725.
    [9]
    W. Wang, Y. Xu, J. Shen, and S.-C. Zhu, “Attentive fashion grammar network for fashion landmark detection and clothing category classification,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2018, pp. 4271–4280.
    [10]
    Q. Wang, Y. Fang, A. Ravula, F. Feng, X. Quan, and D. Liu, “WebFormer: The web-page transformer for structure information extraction,” arXiv preprint arXiv: 2202.00217, 2022.
    [11]
    A. R. Zamir and M. Shah, “Accurate image localization based on google maps street view,” in Proc. European Conf. Computer Vision. Springer, 2010, pp. 255–268.
    [12]
    Y. Song, J. Wen, D. Liu, and C. Yu, “Deep robotic grasping prediction with hierarchical RGB-D fusion,” Int. Journal of Control,Automation and Systems, vol. 20, no. 1, pp. 243–254, 2022.
    [13]
    M. Salarian, N. Iliev, A. E. Cetin, and R. Ansari, “Improved image-based localization using SFM and modified coordinate system transfer,” IEEE Trans. Multimedia, vol. 20, no. 12, pp. 3298–3310, 2018.
    [14]
    A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam, “MobileNets: Efficient convolutional neural networks for mobile vision applications,” arXiv preprint arXiv: 1704.04861, 2017.
    [15]
    J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei, “ImageNet: A large-scale hierarchical image database,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2009, pp. 248–255.
    [16]
    D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv: 1412.6980, 2014.
    [17]
    H. Jin Kim, E. Dunn, and J.-M. Frahm, “Learned contextual feature reweighting for image geo-localization,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2017, pp. 2136–2145.
    [18]
    R. Arandjelovic, P. Gronat, A. Torii, T. Pajdla, and J. Sivic, “NetVLAD: CNN architecture for weakly supervised place recognition,” in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2016, pp. 5297–5307.

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(4)  / Tables(2)

    Article Metrics

    Article views (431) PDF downloads(63) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return