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:
AN GROUND AND UNDER-GROUND URBAN ROADS SURVEYING APPROACH USING INTEGRATED 3D LIDAR AND 3D GPR TECHNOLOGY
- Date of Publication:2025-01-07
- Hits:
DOI number:
10.5194/isprs-annals-x-3-w2-2022-101-2022Affiliation of Author(s):
School of Remote Sensing and Information Engineering, Wuhan University, ChinaJournal:
URBAN GEOINFORMATICS 2022Key Words:
LiDAR,Ground Penetrating Radar,Point-cloud,GPR C-Scan,Road Surveying,Smart CityAbstract:
Digitalization of urban roads is an important part of smart city construction. In addition to having a basic understanding of the structure of the transportation network, we need to have a preliminary understanding of the information around the road, the current status of the road, and the impact that municipal projects may have on the road. At present, the three-dimensional information of the ground parts of roads can be obtained efficiently and accurately on a large scale by using three-dimensional scanning technology. However, there is a lack of comprehensive and intuitive understanding of the under-ground information and a lack of synergistic consideration of the ground and under-ground information. In this paper, a ground and under-ground urban road surveying system based on 3D LiDAR and 3D ground penetrating radar (GPR) is presented. The system covers multi-sensor coordinated control, time-space datum setup, and post-processing data. Experiments show that the system can realize the integrated ground and under-ground 3D surveying for urban roads, generate intuitive three-dimensional point cloud map model of ground and under-ground of urban roads, and provide effective technical support for smart city construction.Co-author:
Mingyao,Ai, Fei,Yu, Pengcheng,Zhao, Ju,Zhang, Qingwu,Hu, Yibo,ZhouIndexed by:
会议论文Discipline:
EngineeringDocument Type:
CVolume:
10Issue:
3Page Number:
101-107ISSN No.:
2194-9042Translation or Not:
noCN No.:
WOS:001185905400015,Scopus:2-s2.0-85141506198,EI:20224613097612Date of Publication:
2022-11-01