KEYWORDS: Roads, Point clouds, 3D modeling, Modeling, Data modeling, Reconstruction algorithms, Feature extraction, Contour extraction, Laser applications, Data processing
To address the challenges pertaining to the sluggish 3D reconstruction of the road surface, excessive workload, and limited adaptability, this study undertook the feature extraction of road point cloud data exhibiting diverse linear shapes, leveraging vehicle-mounted laser point cloud data. Additionally, a novel approach was devised to automatically construct the road triangulation network, thereby achieving a high-precision digital restoration of the road surface. Initially, the data attributes of the laser point cloud obtained from road vehicles are considered, and a data preprocessing technique is devised using the Alpha Shapes algorithm and the point cloud grid thinning algorithm. This method aims to retain crucial information pertaining to the elevation of the road surface, linear boundaries of the road surface, and skeletal features of the road surface. Subsequently, a technique is devised for constructing a Delaunay triangulation network using ordered point cloud data, based on the boundary points and feature points of the road surface. Additionally, an investigation is conducted on a method for constructing a road surface triangulation network with road boundary constraints, enabling the identification and removal of triangles located outside the road surface, thereby achieving precise restoration of the road surface. Ultimately, the assessment of the generated 3D pavement model's quality validates the method's feasibility and accuracy.
With the rapid development of virtual reality as well as geographic information technology, panoramic technology has achieved wide application. For the problems of slow loading speed of large panorama and the lack of measurement function of 2D images, this paper proposes a multi-level pyramid model based on spherical projection. Firstly, the 3D laser point cloud data is transformed by coordinates and projection to generate the depth image corresponding to the panorama, and the 3D application value of the panorama is explored; then, the panoramic images are compressed and sliced to form multi-level panoramic tiles and construct a grid sphere model; finally, the 2D panoramic image is mapped into the 3D grid sphere for rendering according to the vertex coordinates, and slices within the corresponding range are loaded according to the viewing area during browsing. The experimental results indicate that the sliced model significantly improves loading and display speed compared to loading the entire panoramic image, which has strong application value.
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