赵鹏程
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Personal Information
- Supervisor of Master's Candidates
- Name (Pinyin):Zhao Pengcheng
- Date of Birth:1993-09-05
- E-Mail:
- Date of Employment:2019-12-07
- Administrative Position:高级实验师
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:武汉大学信息学部遥感信息工程学院（5号楼）315办公室
- Gender:Male
- Contact Information:+86 15972003670
- Status:Employed
- Alma Mater:武汉大学
- Teacher College:School of Remote Sensing and Information Engineering
Other Contact Information
- PostalAddress:
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- Telephone:
- Email:
激光点云线性 KNN 算法 FPGA 实现及加速
- Date of Publication:2025-01-07
- Hits:
DOI number:
10.3969/j.issn.0255-8297.2023.05.009Affiliation of Author(s):
武汉大学遥感信息工程学院Journal:
应用科学学报Key Words:
K最近邻算法,三维激光点云匹配,现场可编程门阵列加速,并行计算Abstract:
针对三维激光点云线性K最近邻(K-nearest neighbor, KNN)搜索耗时长的问题,提出了一种利用多处理器片上系统(multi-processor system on chip, MPSoC)现场可编程门阵列(field-programmable gate array,FPGA)实现三维激光点云KNN快速搜索的方法。首先给出了三维激光点云KNN算法的MPSoC FPGA实现框架;然后详细阐述了每个模块的设计思路及实现过程;最后利用MZU15A开发板和天眸16线旋转机械激光雷达搭建了测试平台,完成了三维激光点云KNN算法MPSoC FPGA加速的测试验证。实验结果表明:基于MPSoC FPGA实现的三维激光点云KNN算法能在保证邻近点搜索精度的情况下,减少邻近点搜索耗时。Co-author:
Li, Mengxue,Yang,Chen, Xiaoyu, Pengcheng,Zhao, ChangduiIndexed by:
Journal paperDiscipline:
EngineeringDocument Type:
JVolume:
41Issue:
5Page Number:
831-839ISSN No.:
0255-8297Translation or Not:
noCN No.:
Scopus:2-s2.0-85173208325,CSCD:7592862Date of Publication:
2023-10-01