Dr. Jing Li Associate Professor, Aerospace Information Research Institute, International Research Center of Big Data for Sustainable Development Goals (CBAS), Key laboratory of Digital Earth Sciences, Chinese Academy of Sciences (CAS), No.9 Dengzhuang South Road, Haidian District, Beijing 100094, email: lijing202115@aircas.ac.cn
Research Experience
2010 -Present, Associate Professor, Aerospace Information Research Institute, Chinese Academy of Sciences (CAS)
2006 -2010, Research Associate in Department of Geography, University of Leicester (UK)
2003-2006, Part-time lecturer in School of Computing, University of Glamorgan (UK)
Education:
2003-2006, PhD.(School of Computing, University of Glamorgan,UK), GPS augmentation using digital spatial data(fully
funded PhD studentship)
2001-2003，MSc in Geographical Information Systems with Distinction, University of Glamorgan (UK)，School of Computing.
Research Interests
GNSS navigation and positioning algorithm，LiDAR and Vision SLAM (simultaneous localization and mapping), Indoor positioning,Virtual/Augmented Reality, WebGL Cesium development, 3D GIS for natural disaster response, 3D modelling and photogrammetry, computer vision and remote sensing applications.
Reviewers
ISPRS Journal of Photogrammetry and Remote Sensing
International Journal of Geographical Information Science (IJGIS)
International Journal of Remote Sensing
International Journal of Digital Earth
Research Part D: Transport and Environment
Remote Sensing
Academic activities：
Member of Chinese Society for Geodesy, Photogrammetry and Cartography
Member of board, Technical Committee on 3D Vision: China Society of Image and graphics
Editorial board member :International Journal of Digital Earth，Q1, IF 5.1
Member of International Society of Digital Earth
Postgraduate supervisor
Publications:
1. Zhiyuan Yang, Jing Li*, Juha Hyyppä, Jianhua Gong, Jingbin Liu & Banghui Yang (2023) A comprehensive
and up-to-date web-based interactive 3D emergency response and visualization system using Cesium Digital
Earth: taking landslide disaster as an example, Big Earth Data, DOI: 10.1080/20964471.2023.2172823
2. Jingbin Liu, Gege Huang, Juha Hyyppä, Jing Li, Xiaodong Gong, Xiaofan Jiang, (2023)
A survey on location and motion tracking technologies, methodologies and applications in precision
sports,Expert Systems with Applications,Volume 229, Part A,2023,120492,ISSN 0957-4174 . 3. Jing Li, Chenhui Shi, Jun Chen, Ruisheng Wang, Zhiyuan Yang, Fan Zhang & Jianhua Gong (2022) A monocular
visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR- camera integrated device, International Journal of Digital Earth, 15:1, 1929- 1946, DOI: 10.1080/17538947.2022.2138591
4. Chenhui, Shi, Jing Li*, Gong, J.et al. (2022), An Improved Lightweight Deep Neural Network with Knowledge
Distillation for Local Feature Extraction and Visual Localization Using Images and LiDAR, ISPRS Journal of
Photogrammetry and Remote Sensing, 2022.,184: 177-188.
5. Jin, D. , Jing Li*, Gong, J. , Li, Y. , & Wang, S., (2021). Shipborne mobile photogrammetry for 3d mapping and
landslide detection of the water-level fluctuation zone in the three gorges reservoir area, china. Remote
Sensing, 13(5), 1007. 6. Xianmin Wang，Jing Yin，Menghan Luo，Haifeng Ren，Jing Li，Guojun Li．(2021). Active high-locality
landslides in Mao County: Early identification and deformationalrules．Journal of Earth Science. https://kns.cnki.net/kcms/detail/42.1788.P.20210705.1414.002.html. 7. Li W, Gong J, Zhou J, Zhang L, Wang D, Jing Li, Shi C, Fan H.(2021). An evaluation of COVID-19
transmission control in Wenzhou using a modified SEIR model. Epidemiol Infect. doi:
10.1017/S0950268820003064. 8. Kang, X, Jing Li* Fan, X , (2021). Object-Level Semantic Map Construction for Dynamic Scenes
Applied Sciences; 11(2):645. 9. Kang, X, Jing Li* Fan, X.; Wan, W. (2019) Real-Time RGB-D Simultaneous Localization and Mapping Guided by
Terrestrial LiDAR Point Cloud for Indoor 3-D Reconstruction and Camera Pose Estimation. Applied Sciences, 9, 3264. 10. Jing Li , Wang, C. , Kang, X. , & Zhao, Q. . (2020). Camera localization for augmented reality and indoor
positioning: a vision-based 3d feature database approach. International Journal of Digital Earth, 1-15. 10.1080/17538947.2018.1564379. 11. Jing Li, Hong Bao, Xiangmin Han, Feng Pan, Weiguo Pan, Feifei Zhang, and Di Wang, (2017), Real-time self- driving car navigation and obstacle avoidance using mobile 3D laser scanner and GNSS, Multimedia Tools and
Applications, Springer, vol 76(21), pp 23017–23039. 12. Jing Li, Xiangtao Fan, Cheng Wang, Hong Bao & Yong Xiao (2015) Accuracy assessment of GPS navigation
augmented by SAR and LiDAR-derived Digital Elevation Models，International Journal of Digital Earth, 8:12, 1007-1022. 13. Yong Xiao, Cheng Wang, Jing Li, Wuming Zhang, Xiaohuan Xi, Changlin Wang & Pinliang Dong, (2015)
Building segmentation and modeling from airborne LiDAR data[J]. International, Journal of Digital Earth, 8(9):
694-709. 14. Jing Li., Jarvis, C., and Brunsdon, C., (2010), The use of immersive real-time 3D computer graphics for
visualisation of Dilution of Precision (DOP) in virtual environments, International Journal of Geographical
Information Science, 24(4), pp591-605. 15. Jing Li, Taylor, G.,Kidner,D.,Ware, M., (2008), Prediction and Visualisation of GPS multipath effect in urban
areas using LiDAR and building footprints, International Journal of Geographical Information
Science,22(12),pp1197-1218. 20, (Taylor and Francis). 16. Jing Li, Taylor, G. and Kidner, D., (2005), Accuracy and reliability of map matched GPS coordinates: dependence
on terrain model resolution and interpolation algorithm, Computers and Geosciences, 31(2) pp 241-251
17. Taylor, G., Jing Li., Kidner, D.B., Brunsdon, C. and Ware, J.M., (2007), 'Modelling and Prediction of GPS
Availability with Digital Photogrammetry and LiDAR', International Journal of Geographical Information
Science, 21(1) pp1-20 (Taylor and Francis). 18. Taylor, G., Brunsdon, C., Jing Li, Olden, A., Steup, D. and Winter, M., (2006), GPS accuracy estimation using
map matching techniques: Applied to vehicle positioning and odometer calibration matching, Computers, Environment and Urban Systems 30(6) pp757-772, (Elsevier Science). 19. Jing Li, Jarvis, C.H., Brunsdon, C. (2009) Exploring spatial uncertainty of GPS coordinates and DEM
interpolation in virtual environments, Book Chapter 15: Virtual Geographic Environments edited by Lin Hui and
Michael Batty, Science Press, pp211-220.
20. Brunsdon, C., Corcoran J., and Jing Li, (2009), A Method For Visualising Journey to Work Patterns Based on Choropleth Mapping and a Physical Analogy, Proceedings of GIS Research In the UK 09, University of Durham, pp13-17.
21. Taylor,G. Jing Li ,Kidner,D.,Ware M.,(2005), Surface Modelling for GPS Satellite Visibility, Lecture Notes in Computer Science, Volume 3833, Pages 281 – 295, Springer Berlin / Heidelberg.
Patent：
1. Semantic mapping and localization based on prior LiDAR point cloud ：ZL20201213908.2；
2. LiDAR and camera integrated device for 3D reconstruction
ZL202110773221.2；
Software:
3D visualization and mapping system v1.0
3D GIS for disaster response v1.0
Multisource data integration and visualization tool v1.0
Projects:
Various research projects from NSFC China, Ministry of Science and Technology China, National
Disaster Reduction Center of China etc.