Vehicle-mounted laser point cloud and panoramic image data organization and fusion visualization

Jingyuan Wei; Ming Huang

doi:10.1117/12.2668121

23 February 2023 Vehicle-mounted laser point cloud and panoramic image data organization and fusion visualization

Jingyuan Wei, Ming Huang

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 1255118 (2023) https://doi.org/10.1117/12.2668121
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

Vehicle-mounted measurement system can obtain massive point cloud and panoramic image through 3D laser scanner and panoramic camera. How to organize these data effectively, fast matching and fusion visualization have become urgent problems to be solved at present. Aiming at the above problems, according to the characteristics of road point cloud, this paper uses octree construction algorithm based on spatial partition to carry out the distributed construction of multi-resolution point cloud and designs and obtains an irregular octree data organization structure of point cloud. ThreeJS is used to design point cloud scheduling mechanism to achieve rapid visualization of massive point cloud and panorama. A visual process of point cloud panoramic matching and fusion based on geometric features of spatial objects is proposed. Experiments show that the technical process in this paper can realize the stable and rapid fusion visualization of vehicle-mounted point cloud and panoramic data at the Web end, and the fusion process is simple, the fusion precision is high, and it has high practical value.

Citation Download Citation

Jingyuan Wei and Ming Huang "Vehicle-mounted laser point cloud and panoramic image data organization and fusion visualization", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 1255118 (23 February 2023); https://doi.org/10.1117/12.2668121

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