4DGS Closed-Loop Simulation

To address the limitations in generalizability and interactivity of real-world collected data, 51Sim has developed a 4DGS-based end-to-end LogSim simulation framework. By incorporating temporal dimensions into unified modeling, the system enables high-fidelity reconstruction of high-value corner case scenario segments. This approach exponentially enhances the generalizability and reusability of critical data while ensuring data credibility, effectively supporting mass-production testing requirements.

Application Scenarios

Ultimate Data Credibility

Leveraging real-world vehicle video footage to reconstruct 3D scenarios, delivering dynamic rendering quality comparable to photorealistic standards, enabling reliable perception algorithm training.

Editable Real-Data Scenarios

Based on the original video stream, dynamic trajectories within the scenario can be edited to enable the ego vehicle to change lanes, replace opponent vehicles and alter their trajectories, as well as add or delete opponent vehicles. Simultaneously, diffusion models are utilized to generalize trajectories, with detail completion applied to new trajectories to ensure the rationality of trajectory generalization.

Novel View Synthesis for Data Reusability

Generates new perspectives from single-vehicle collected data by adjusting camera positions, orientations, FOV, distortion, and ISP parameters (color/brightness/noise). Facilitates cross-vehicle data migration while reducing redundant data collection costs.

Next-Generation Simulation Architecture

51Sim's distributed next-gen architecture integrates LogSim and WorldSim capabilities, unifying real-scene reconstruction with simulated scenario generation.