Jingwei Zhu, PhD, Postdoctoral Researcher. She received her PhD in Engineering from the Technical University of Munich, Germany, in 2025, under the supervision of Professors Uwe Stilla and Thomas H. Kolbe. Her main research focus is multi-source remote sensing data fusion, dedicated to integrating thermal infrared imagery, LiDAR point clouds, semantic 3D models, and spatio-temporal big data to serve urban fine-grained 3D modeling, building thermal performance analysis, and smart city digital twins.
Main research directions:
Calibration, registration, and fusion of thermal infrared images and LiDAR point clouds
3D Point Cloud Generation and Semantic Information Enhancement for Urban Thermal Environments
Urban sensing and analysis supported by multi-source spatio-temporal data (trajectories, imagery, point clouds)
1. National Natural Science Foundation of China Project (Participant, 2022-2024): "Relative Navigation Method for Pedestrians in Urban Street View Environments Based on Salient Landmark Bands".
2. Bavarian State Government Project, Germany (2019-2020): "Cuby" Agricultural and Forest Monitoring Microsatellite, responsible for sensor and data processing framework design.
3. TUM Project (Participant, 2016-2017): "MOVE II" Microsatellite Project.
Paper Publication:
[1]Zhu J, Boris J.(2025) Automatic generation of thermal point clouds from TIR images and LiDAR point clouds. [J] Urban Informatics.(accepted)
[2]Zhu J, Xu Y, Hoegner L, Stilla U. (2023) Thermal point clouds generation from uncalibrated thermal infrared image sequences. [J] IEEE Transactions on Instrumentation and Measurement. vol. 72, pp. 1-16, 2023, Art no. 1005916, doi: 10.1109/TIM.2023.3284942.
[3] Zhu J, Xu Y, Ye Z, Hoegner L, Stilla U. (2021) Fusion of urban 3D point clouds with thermal attributes using MLS data and TIR image sequences.[J]. Infrared Physics & Technology, 2021, 113.
[4]Zhu J, Gehrung J, Huang R, Borgmann B, Sun Z, Hoegner L, Hebel M, Xu Y, Stilla U.(2020) TUM-MLS-2016: An annotated mobile LiDAR dataset of the TUM city campus for semantic point cloud interpretation in urban areas. Remote Sensing, 12(11).
[5]Zhu J, Xu Y, Fang Z, Shaw S, Luo X. (2018) Geographic prevalence and mix of regional cuisines in chinese cities. Isprs International Journal of Geo Information, 7(5), 183.
[6] Zhu Jingwei, Fang Zhixiang, Yang Xiping, Yin Ling. (2018) Spatiotemporal Synchronicity Analysis of Human Mobility Between Urban Adjacent Base Stations. Journal of Geoinformation Science, 20(6):844-853. [CNKI]
[7]Zhu J, Wysocki O, Holst C, Kolb T. (2024) Enriching Thermal Point Clouds of Buildings Using semantic 3D building Models. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-4/W5-2024, 341–348.
[8]Zhu J, Ye Z, Xu Y, Hoegner L, Stilla U. (2020) MINDflow base dense matching between TIR and RGB images. Archives XLIII-B2-2020 / 2020.
[9]Zhu J, Xu Y, Hoegner L, Stilla U. (2019) Direct co-registration of TIR images and MLS point clouds by corresponding keypoints. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, IV-2/W7, 235–242.
[10]Hoegner L, Zhu J, Xu Y, Stilla U. Photogrammetrie – Laserscanning – Optische 3D-(2022) Generierung von thermischen Punktwolken von Gebäuden aus Infrarotbildsequenzen und MLS-Punktwolken. Messtechnik. Beiträge der Oldenburger 3D-Tage, Wichmann, Berlin/Offenbach, 204–213, 2022.
[11]Ye Z, Xu Y, Chen H, Zhu J, Stilla, U. (2020) Area-based dense image matching with subpixel accuracy for remote sensing applications: practical analysis and comparative study.Remote Sensing, 12(4), 696.
[12]Su R, Fang Z, Luo N, Zhu J. (2018) Understanding the dynamics of the pick-up and drop-off locations of taxicabs in the context of a subsidy war among e-hailing apps.[J] Sustainability. 10(4):1256.
[13]Fang Z, Li L, Li B, Zhu J, Li Q, Xiong S. (2017) An artificial bee colony-based multi-objective route planning algorithm for use in pedestrian navigation at night.[J] International Journal of Geographical Information Science. 31(10):2020-44. [SCI, SSCI, CNKI, JCR24:Q1,JCR25:1Top]
