Customer Pain Points
High Requirements for Fidelity
End-to-end simulation must accurately replicate real-world perceptual inputs to reliably validate system-level model performance. Traditional simulation methods still face gaps in image quality and physical consistency, making it difficult to meet the stringent data fidelity demands of advanced models.
Stringent Spatiotemporal Consistency for Multi-Sensor Systems
Real-world testing often requires real-time synchronization of dozens of sensors, imposing extreme demands on timestamp accuracy, spatial alignment, and sensor modeling precision.
Scarcity of High-Precision Digital Assets
The lack of structured, high-precision digital asset libraries hinders the efficient construction of generalizable, highly realistic complex simulation scenarios.
Solution Value
3DGS Simulation Engine Addresses Perception Realism Challenges
By integrating 3D Gaussian Splatting with rendering technologies, it reconstructs real-world scenarios to authentically restore multimodal perception inputs (e.g., images, point clouds), meeting the high-fidelity input requirements of end-to-end models.
Multi-Sensor Synchronized Simulation Architecture
Supports simultaneous operation of dozens of sensors with precise timestamp alignment and physical characteristic modeling, ensuring true consistency of multimodal inputs in closed-loop testing.
High-Fidelity Simulation Standards Across SIL/HIL/DIL Workflows
Maintains consistent simulation fidelity throughout software-, hardware-, and driver-in-the-loop validation processes, enabling seamless data correlation and iterative optimization.
Structured High-Precision Asset Library Enables Complex Scenario Simulation
Provides high-precision components for typical scenarios (urban roads, campuses, ports, mountainous areas), supporting scalable, high-fidelity multi-environment scenario construction to improve test coverage and efficiency.
High-Concurrency Execution Capability
Enables large-scale cloud-based end-to-end test scheduling, accelerating model version comparison and iterative validation efficiency.
Application Scenarios
01

System-Level Closed-Loop Validation

Utilizing the 3DGS simulation engine for full-chain verification from perception input to control output, suitable for stability evaluation of end-to-end models (e.g., BEV+Transformer) in complex scenarios such as urban roads, highways, and campus environments.
02

Edge Case and Extreme Scenario Validation

Supports simulation of challenging conditions (night, rain/fog, low light, backlight) to verify model robustness and behavioral reliability under degraded perception conditions.
03

Cross-Version Model Comparison and Regression Testing

Integrates high-fidelity inputs with multi-dimensional behavioral metrics to conduct behavioral comparisons, path deviation analysis, risk assessment, and visualization across different model versions.
04

CI/CD Pipeline Integration for Automated Large-Scale Testing

Enables seamless integration with customer testing platforms to automatically trigger end-to-end simulation tasks after algorithm updates, facilitating multi-version model comparison and issue regression analysis.
Cases
High-Precision End-to-End Autonomous Driving Simulation Scene Reconstruction in an Asian Metropolis
End-to-End Intelligent Driving Simulation Platform for a Large Central State-Owned Enterprise in Central China
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