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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
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Paper Publications
Current position: Home   >   Scientific Research   >   Paper Publications

3D SCENE RECONSTRUCTION AND PATH PLANNING METHOD FOR UAV IN GNSS-DENIED ENVIRONMENT

  • Date of Publication:2025-01-07
  • Hits:

  • DOI number: 

    10.5194/isprs-annals-x-3-w1-2022-69-2022

  • Affiliation of Author(s): 

    School of Remote Sensing and Information Engineering, Wuhan University, China

  • Journal: 

    14TH GEOINFORMATION FOR DISASTER MANAGEMENT, GI4DM 2022, VOL. 10-3

  • Key Words: 

    GNSS-denied,UAV,Laser SLAM,Path Planning and Optimization,PRM

  • Abstract: 

    Today, natural disasters have a huge impact all over the world, while GNSS plays an important role in disaster relief and rescue. However, when the ground surface is severely damaged and covered, satellite positioning means are denied. In addition, disaster site conditions are often very complex and may require unmanned robots such as UAVs for pre-surveying. To address the raised problem, we reconstructed the 3D scene by laser SLAM; improved PRM path planning method for better computational efficiency while solving feasible path results; and realized UAV autonomous flight along the planned path in GNSS-denied environment. The experiments prove that the reconstructed scene map provides a feasible means for UAV autonomous navigation in GNSS-denied environment, and the proposed path planning method has a significant improvement in computational efficiency.

  • Co-author: 

    Mingyao,Hu, Qingeng,Zhao, Xuzhe,Duan, Pengcheng,Jin,Ai, Qingwu

  • Indexed by: 

    会议论文

  • Discipline: 

    Engineering

  • Document Type: 

    C

  • Volume: 

    10

  • Issue: 

    3/W1-2022

  • Page Number: 

    69-75

  • ISSN No.: 

    2194-9042

  • Translation or Not: 

    no

  • CN No.: 

    Scopus:2-s2.0-85142396779,EI:20224713158922,WOS:001190462700010

  • Date of Publication: 

    2022-11-01

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