Researching

Journals
  • Advanced Photonics
  • Photonics Insights
  • Advanced Photonics Nexus
  • Photonics Research
  • Advanced Imaging
  • View All Journals
  • Chinese Optics Letters
  • High Power Laser Science and Engineering
    • Articles
  • Optics
  • Physics
  • Geography
  • View All Subjects
    • Conferences
  • CIOP
  • HPLSE
  • AP
  • View All Events
    • News
    About CLP
    Search by keywords or author
    Journals >Acta Optica Sinica >Volume 42 >Issue 12 >Page 1212005 > Article
    • Acta Optica Sinica
    • Vol. 42, Issue 12, 1212005 (2022)
    Optimized Scalable and Learnable Binary Quantization Network for LiDAR Point Cloud
    Zhi Zhao1、*, Yanxin Ma2, Ke Xu1, and Jianwei Wan1
    Author Affiliations
  • 1College of Electronic Science, National University of Defense Technology, Changsha 410073, Hunan, China
  • 2College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, Hunan, China
    • show less
    DOI: 10.3788/AOS202242.1212005 Cite this Article Set citation alerts
    Zhi Zhao, Yanxin Ma, Ke Xu, Jianwei Wan. Optimized Scalable and Learnable Binary Quantization Network for LiDAR Point Cloud[J]. Acta Optica Sinica, 2022, 42(12): 1212005 Copy Citation Text show less
    References
    Abstract
    Get PDF(in Chinese)
    Figures&Tables (26)
    Equations (0)
    References (0)
    Get Citation
    Copy Citation Text
    Zhi Zhao, Yanxin Ma, Ke Xu, Jianwei Wan. Optimized Scalable and Learnable Binary Quantization Network for LiDAR Point Cloud[J]. Acta Optica Sinica, 2022, 42(12): 1212005
    Download Citation
    Set citation alerts for the article
    Tools
    Share
    Set citation alerts for the article
    Save the article for my favorites
    Paper Information
    Recommended Topics
    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology