51Sim assisted the OEM in building a customized cloud simulation testing platform that integrates the full data-driven closed-loop process, supporting software integration testing and functional module-level validation for intelligent driving systems. The platform interfaces with the client's internal systems, enables automated testing with issue autologging, and supports high-concurrency cloud testing to accelerate product iteration.

51Sim developed a cloud-based simulation platform enabling data-driven closed-loop workflows, large-scale Log2World planning/control simulation, and integration with annotation platforms to generate perception training datasets.

In collaboration with the automaker’s R&D center in China, 51Sim established a unified data and simulation platform for feasibility verification and process integration. The platform covers data management, scenario conversion/library/generalization/editing/simulation/evaluation, and connects with upstream data sources to form a complete data-driven closed-loop system.

51Sim built an HIL test platform for next-generation domain controllers, integrating SimOne’s scenario/sensor/map/localization/dynamics simulation with customizable evaluation metrics. The solution supports parking-driving integrated function validation, improving efficiency while reducing costs.

Partnering with a global domain controller hardware supplier, 51Sim delivered the industry’s first Horizon J6-based HIL test platform, leveraging its expertise in perception simulation and HIL solutions.

Generated multinational parking scenario datasets containing 10+ parking space types, dozens of environments, and hundreds of thousands of synthetic data frames to support overseas intelligent parking training needs.

Integrated SimOne with the client’s computing platform (supporting 10+ 4K cameras and BEV Transformer algorithms) to validate perception simulation effectiveness and develop next-generation systems (perception SOTIF, NeRF).

Using a 6-DOF simulator and SimOne, 51Sim established a rapid HMI validation system capable of reproducing ‘human-vehicle-environment’ interactions. The OpenSCENARIO-based editor enables flexible scenario generation for efficient design iteration.

Developed China’s first integrated simulation lab with a motion-base simulator, static simulators, and VR/pedestrian motion capture, enabling multi-driver/non-motorist/pedestrian-in-the-loop testing.

Built a hybrid cloud simulation platform generating perception simulation datasets equivalent to 100,000 km of daily training mileage for perception algorithm development.

Created a HIL test platform with parametrized cornfield scenarios and crop models to validate vision algorithms, crop row detection, and autonomous navigation, significantly boosting smart agricultural machinery R&D.

Delivered a simulation system for RTG unmanned handling operations, featuring customizable yard scenarios, container physics modeling, and PLC/dynamics integration to validate perception-decision algorithms while reducing real-world testing risks.