aiData represents the most advanced data pipeline for automated driving technology, meticulously designed to handle vast amounts of data essential for developing safe and efficient driving systems. This comprehensive platform offers automated data collection, annotation, and synthetic data generation, enabling unprecedented precision and control over data management processes. By integrating cutting-edge sensor simulation and domain randomization techniques, aiData creates outputs that are virtually indistinguishable from real-world data.
The aiData Recorder emphasizes synchronized, smart data collection scaled across various sensor setups and vehicle models, making it highly adaptable and efficient. To aid developers in reducing costs and time, aiData Auto Annotator leverages AI for automatic annotation, effectively mining edge cases and performing active learning to deliver high-precision annotations for both static and dynamic objects. The system supports seamless scenario extraction from real-world to model-space, ensuring consistent annotations across all sensor modalities.
The data pipeline also features integrated metrics evaluations that offer real-time insights into development progress, ensuring all collected data meets stringent quality benchmarks. With the aiData Versioning System, users can meticulously track data usefulness and monitor the impact of adding new datasets to fill existing gaps, presenting a transparent view of algorithm performance in varying conditions. aiData’s robust features make it an indispensable tool for developers, streamlining the data-driven development of next-generation ADAS technologies.
