The application provides a
Gaussian ball clustering method for three-dimensional reconstruction of a highway
traffic accident site, comprising the following steps: S1, collecting multi-view images of the accident site, solving camera parameters and initializing a three-dimensional
Gaussian ball scene; S2, constructing a rendering training loop based on the initialized three-dimensional
Gaussian ball scene, and adaptively adjusting the Gaussian ball density through
cloning or splitting operations; S3, extracting the spatial and color features of the three-dimensional Gaussian ball, and constructing a multi-
modal physical
feature set; S4, calculating an adaptive discrete step length based on the multi-
modal physical
feature set, and mapping the continuous features into discrete coordinates; S5, generating a multi-
modal hash index based on the discrete coordinates, and realizing continuous rearrangement of the same type of Gaussian ball in the
display memory through GPU
parallel sorting; S6, performing physical conservation formula parameter aggregation on the same type of Gaussian ball continuously stored in the
display memory, releasing redundant
display memory and simplifying the three-dimensional Gaussian ball set; and S7, completing all training iterations, and exporting the final simplified three-dimensional Gaussian ball set into a general PLY format file.