Research on the Method of Applying 3D Gaussian Splatting Technology to Help Conduct Automatic Driving Training

The purpose of this study is to explore the application of 3D Gaussian Splatting technology in automated driving training. In reality, the training of automatic driving models will produce great labor and economic consumption, but the use of virtual 3D scenes can significantly reduce this consumption, and at the same time have better training effects. Therefore, how to better use 3D for the training of automatic driving models will also be the future development direction of the field of automatic driving. In this paper, some major 3D Gaussian based dynamic scene modeling methods are summarized and some improvement schemes are proposed, including scene segmentation, new scene generation and dynamic scene rendering. This paper hopes to summarize and improve the current research, and finally propose that the generation target scene can be customized according to the training requirements of users' automatic driving models, so as to achieve more efficient and practical 3D scene generation.