
- 3DGS Point Cloud Modeling
- Using the 3D Gaussian Splatting rendering technology, the collected data from cameras, LiDAR, etc. are processed to transform the 3D scene represented by multi-view images into an anisotropic 3D Gaussian point cloud scene. Through parameter optimization and density control, high-quality reconstructed scenes are output.

- Dynamic and Static Traffic Scene Library
- 51Sim has a rich digital asset library of static and dynamic traffic scenes. Through the AI fusion algorithm, it can be naturally fused on the basis of 3DGS point cloud modeling to ensure the coherence and visual realism of the overall scene, and achieve an exponential increase in scene richness.

- Global Real-time Rendering
- The integration solution of 3DGS and the graphics engine possesses high-quality real-time rendering capabilities, which can ensure the consistency and high fidelity of multi-camera perspectives. This not only improves the training quality of the autonomous driving system but also significantly enhances the authenticity of the simulation to the extent that it is difficult to distinguish with the naked eye, thereby increasing the confidence in the simulation and compensating for the lack of details and generalization capabilities of 3DGS.

- Multi-sensor Perception Simulation
- The simulation platform is equipped with physical-level camera, LiDAR, and millimeter-wave radar models that are calibrated for real sensors, as well as physically realistic illumination and parameterized weather systems. Based on the reconstructed scene, multi-sensor perception simulation can be realized.
Application
Autonomous Driving Simulation 

Embodied Intelligence Simulation 

Training of Large Models 

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