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Progress and perspectives of point cloud intelligence.
- Source :
- Geo-Spatial Information Science; Jun2023, Vol. 26 Issue 2, p189-205, 17p
- Publication Year :
- 2023
-
Abstract
- With the rapid development of reality capture methods, such as laser scanning and oblique photogrammetry, point cloud data have become the third most important data source, after vector maps and imagery. Point cloud data also play an increasingly important role in scientific research and engineering in the fields of Earth science, spatial cognition, and smart cities. However, how to acquire high-quality three-dimensional (3D) geospatial information from point clouds has become a scientific frontier, for which there is an urgent demand in the fields of surveying and mapping, as well as geoscience applications. To address the challenges mentioned above, point cloud intelligence came into being. This paper summarizes the state-of-the-art of point cloud intelligence, with regard to acquisition equipment, intelligent processing, scientific research, and engineering applications. For this purpose, we refer to a recent project on the hybrid georeferencing of images and LiDAR data for high-quality point cloud collection, as well as a current benchmark for the semantic segmentation of high-resolution 3D point clouds. These projects were conducted at the Institute for Photogrammetry, the University of Stuttgart, which was initially headed by the late Prof. Ackermann. Finally, the development prospects of point cloud intelligence are summarized. [ABSTRACT FROM AUTHOR]
- Subjects :
- POINT cloud
VECTOR data
SMART cities
EARTH sciences
Subjects
Details
- Language :
- English
- ISSN :
- 10095020
- Volume :
- 26
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Geo-Spatial Information Science
- Publication Type :
- Academic Journal
- Accession number :
- 171996266
- Full Text :
- https://doi.org/10.1080/10095020.2023.2175478