Student information
MSc thesis topic: Improving mobile LiDAR pointclouds in an urban environment
Many fields of research make use of LiDAR, one of those fields is urban monitoring. Terrestrial Laser Scanning (TLS) has been used for monitoring urban for many years. Monitoring urban environments is important and the 3D representation can give invaluable insight in to their function and the effects of climate change.
The technology surrounding LiDAR and TLS has seen much innovation. Mobile LiDAR scanners can be used for Mobile Laser Scanning (MLS). These instruments are portable, continually acquire data and could prove very useful in circumstances where traditional TLS systems face difficulty limitations. However, the precision of MLS in comparison to TLS dictates the usefulness of the mobile systems in measuring and monitoring urban environments
Two LiDAR datasets (MLS and TLS) were collected in 2022 in a street in Leeuwarden. Datasets have been pre-processed but not aligned into each other.
Objectives and Research questions
- Understand the relevance of using mobile LiDAR in urban environments.
- Improve mobile LiDAR pointclouds using a terrestrial LiDAR pointcloud as reference in two urban setups (a street and a park).
Requirements
- Basic understanding of LIDAR technology and their use in urban environments
- Programming skills
Literature and information
- Wang, Y.; Chen, Q.; Zhu, Q.; Liu, L.; Li, C.; Zheng, D. A Survey of Mobile Laser Scanning Applications and Key Techniques over Urban Areas. Remote Sens. 2019, 11, 1540.
- Shuaixin Li, Guangyun Li, Li Wang, Yuchu Qin, SLAM integrated mobile mapping system in complex urban environments, ISPRS Journal of Photogrammetry and Remote Sensing https://doi.org/10.1016/j.isprsjprs.2020.05.012.
- Di Stefano, F., Chiappini, S., Gorreja, A., Balestra, M., & Pierdicca, R. (2021). Mobile 3D scan LiDAR: a literature review. Geomatics, Natural Hazards and Risk, 12(1), 2387–2429.
- Golombek, Y., Marshall, W. High-density mobile LiDAR for measuring urban streetscape features. Urban Des Int 27, 3–17 (2022).
- J. Cheng, Z. Xiang, T. Cao and J. Liu, Robust vehicle detection using 3D Lidar under complex urban environment, 2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, China, 2014, pp. 691-696.
- Kukko, A.; Kaartinen, H.; Hyyppä, J.; Chen, Y. Multiplatform Mobile Laser Scanning: Usability and Performance. Sensors 2012, 12, 11712-11733.
Expected reading list before starting the thesis research
- Choose at least 5 research papers from the literature list above.
Theme(s): Modelling & visualisation