STRADVISION Boosts Data Pipeline with Digital 2.0

STRADVISION, a leader in deep learning-based vision perception technology for the automotive industry, announced the release of SVDataFlow, an advanced version of the “Data Management Workflow” first introduced at CES 2025. This upgrade, developed as part of the company’s Digital Transformation 2.0 strategy, strengthens automation and optimization capabilities for large-scale 3D training data processing and secures scalability through hybrid cloud services.

SVDataFlow: An Integrated Pipeline Connecting Data Collection to Analysis

SVDataFlow is a comprehensive data management pipeline that automates the entire process for autonomous driving and ADAS development, from sensor data collection and ingestion to preprocessing, labeling, verification, and final analysis.

Through the introduction of SVDataFlow, STRADVISION has already demonstrated significant benefits, including faster 3D data processing, a 30-40% improvement in labeling efficiency, and a noticeable reduction in operational costs. Notably, optimization of ALAS (Auto-Labeling Assistant Service) 3D map loading has significantly eased the workload of global operators.

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“SVDataFlow is more than a data pipeline; it is a comprehensive management system that achieves balance across quality, productivity, efficiency, and scalability,” said Insu Kim, Head of STRADVISION‘s Data Innovation Center. “We plan to commercialize SVDataFlow by the end of 2025, expand it into SVDataFlow as a Service in 2026, and roll it out globally. Through Digital Transformation 2.0, we will work with our customers to lead the global autonomous driving market.”

SOURCE: PRNewsWire