Customer Pain Points
Data-Rich yet Value-Thin
Large volumes of real-world collected data suffer from low utilization rates, making it difficult to accurately mine high-value scenarios.
Compliance and Consistency Challenges
Fragmented data processing workflows lead to difficulties in ensuring compliance and maintaining annotation consistency.
Slow Scenario Accumulation and Weak Coverage
Scenario library development is time-consuming, with insufficient coverage of edge/long-tail cases, impacting model robustness.
Data-Testing Disconnect and Lack of Closed Loop
Disjointed data and simulation testing processes prevent the establishment of a 'data-driven testing, testing feeds back into data' iterative cycle.
Solution Value
End-to-End Data Management
Supports multi-source data ingestion with automated cleaning, compliance validation, and structured annotation capabilities to enhance data processing efficiency.
Intelligent Scenario Mining
Integrates perception mining models and rule engines to automatically identify critical scenarios (e.g., collision risks, extreme weather), improving scenario mining accuracy.
Closed-Loop Simulation Integration
Leverages Log2World conversion to transform real-world collected data into high-fidelity simulation scenarios, enabling seamless 'real-data → simulation → model optimization' iteration.
Structured High-Precision Asset Library for Complex Scenario Simulation
Provides high-accuracy components for urban roads, campuses, ports, mountainous areas, and other typical scenarios, supporting scalable, high-fidelity multi-environment scene construction to boost test coverage and efficiency.
