aiData is a comprehensive data pipeline solution engineered to manage the extensive data needs of automated driving systems. This fully automated pipeline is designed to optimize the Machine Learning Operations (MLOps) workflow, from initial data collection and preparation to curation, annotation, and final validation. aiData minimizes human error by streamlining data handling processes, ensuring high-quality recordings, precise annotation, and thorough data curation, all crucial for developing and validating AI-based ADAS (Advanced Driver Assistance Systems) and Autonomous Driving (AD) features.\n\nAt the heart of aiData is a sophisticated Versioning System that offers complete transparency and traceability throughout the data flow. This system allows for efficient dataset curation using metadata enrichment and advanced query capabilities. It can be deployed on-premises for enhanced security or in the cloud for effective collaboration across global teams, adapting to various use-case requirements.\n\nThe AI-powered annotator within aiData automatically tags sensor data, such as Lidar and camera inputs, with high precision, reducing the manual labor traditionally required in data annotation. Additionally, the aiData Recorder component is tailored for capturing diverse scenarios with precise calibration, ensuring data quality for subsequent AD development applications. Overall, aiData serves as a cornerstone for advancing automotive development, facilitating the smooth transition from data acquisition to AI deployment.
