个人简介
吴杭彬,长聘副教授、博士生导师,2023年入选国家级青年人才项目计划,主要从事多平台三维激光扫描数据处理和集成、智能交通GIS、导航和位置服务等领域的研究。主持自然基金项目3项、国家重点研发计划课题1项、子课题2项。发表著作1部,SCI/SSCI论文70余篇,其中第一/通讯SCI检索27篇,获得专利8项(2项转让)。任国际数字地球学会激光雷达专委会、中国图象图形学会视觉传感专委会等多个专业任职。获得国家教学成果二等奖、上海市教学成果一等奖、上海市科技进步一等奖、教育部科技进步二等奖、上海市技术发明二等奖等省部级奖励十余项。
学习和工作经历
2007.3 - 2010.3 同济大学 博士研究生,专业:大地测量学与测量工程
2009.3 - 2009.9 香港理工大学 研究助理
2010.8 - 现 在 同济大学 讲师、副教授、长聘副教授
奖励与荣誉
国家教学成果二等奖(2023年,序13)
上海市教学成果一等奖(2022年,序10)
上海市技术发明二等奖(2022年,序3)
华夏建设科技二等奖(2022年,序4)
上海市科技进步一等奖(2019年,序4)
教育部科技进步二等奖(2018年,序3)
中国测绘学会科技进步一等奖(2011年,序8)
中国测绘学会科技进步三等奖(2007年,序7)
同济大学学科竞赛优秀指导教师(2019-2022)
全国大学生测绘技能竞赛、创新开发大赛等优秀指导教师
研究领域
激光扫描数据处理、室内外高精地图制图、交通GIS技术、轨迹大数据挖掘、道路高精地图制图与更新
近期论文
查看导师新发文章
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Yuanhang Kong, Hangbin Wu(*), Akbar Akram, Jintao Li, Jingwen Zhao, Shida Wang, Wei Huang and Chun Liu. UAV LiDAR Data-based Lane-level Road Network Generation for Urban Scene HD Maps. IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 6501805, doi: 10.1109/LGRS.2023.3308891.
Li Jintao; Wu, Hangbin(*); Ma, Xinjiang; Li, Yanyi; Yue, Han; Liu, Chun; Simulation of Street Tree Pruning for the Visibility of Traffic Signs to Drivers Using MLS Point Clouds. IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023, Art no. 6501605, doi: 10.1109/LGRS.2023.3306982.
Junyi Wei, Hangbin Wu(*), Han Yue, Shoujun Jia, Chun Liu et al. Automatic Extraction and Reconstruction of a 3D Wireframe of an Indoor Scene from Semantic Point Clouds. International Journal of Digital Earth. 2023, 16(1), 3239–3267 https://doi.org/10.1080/17538947.2023.2246937
Jintao Li, Hangbin Wu(*), Xiaolong Cheng, Yuanhang Kong, Xufei Wang, Yanyi Li, Chun Liu. Individual extraction of street trees from MLS point clouds based on tree non-photosynthetic components clustering.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. vol. 16, pp. 5173-5188, 2023, doi: 10.1109/JSTARS.2023.3281787.
Hangbin Wu(*), Shengke Huang, Chen Fu, Shan Xu, Junhua Wang, Wei Huang & Chun Liu (2023): Online map-matching assisted by object-based classification of driving scenario, International Journal of Geographical Information Science, 37:8, 1872-1907, DOI: 10.1080/13658816.2023.2206877
Shida Wang; Hangbin Wu(*); et al., Automated extraction of tunnel electricity transmission system: An object-level approach with mobile laser scanning data. International Journal of Applied Earth Observation and Geoinformation, 2023,116,103136
Lizhi Lou, Chaoxu Wei, Hangbin Wu(*) and Chen Yang. Cave feature extraction and classification from rockery point clouds acquired with handheld laser scanners. Heritage Science.2022,10:177
Hangbin Wu(*); Shan Xu; et al., Optimal road matching by relaxation to min-cost network flow. International Journal of Applied Earth Observations and Geoinformation. 2022,114:103057
Jintao Li; Hangbin Wu(*); et al.,3D modeling of laser-scanned trees based on skeleton refined extraction, International Journal of Applied Earth Observation and Geoinformation, 2022,112,102943,
Hangbin Wu(*); Huiling Jin; et al.,. Travel mode classification based on GNSS trajectories and open geospatial data. Transactions in GIS, 2022,26:2598-2620.
吴杭彬,王旭飞,刘春. 基于林地激光点云的树木胸径自动提取方法.同济大学学报自然科学版.2022,50(7):947-954
傅琛,黄升钶,汤焱,吴杭彬(*),刘春,姚连璧,黄炜,一种结合行驶场景语义的轨迹-路网实时匹配方法,测绘学报,2021.11
Hangbin Wu; Zeran Xu; et al., LV-GCNN: A Lossless Voxelization Integrated Graph Convolutional Neural Network for Surface Reconstruction from Point Clouds. International Journal of Applied Earth Observation and Geoinformation. 2021,103:102504
Hangbin Wu; Han Yue; et al., Indoor Map Boundary Correction Based on Normalized Total Least Squares of Condition Equation, Journal of Surveying Engineering, 2021:147(4):04021015
Hangbin Wu; Han Yue et al.,Automatic structural mapping and semantic optimization from indoor point clouds. Automation in Construction.2021:124