StradVision Closes $88M Series C Funding Round

SEOUL, South Korea, Sept. 2, 2022 — StradVision, an AI-based image processing company for autonomous vehicles and advanced driver assistance systems, closed an $88 million series C funding round. Strategic investors in this round included ZF Friedrichshafen AG and Aptiv PLC. StradVision now has $129 million in cumulative funding from their seed round through this latest round. Besides ZF and Aptiv, other automotive industry strategic investors have included Hyundai Motor Company, Hyundai Mobis, LG Electronics, and AISIN. StradVision's SVNet is being deployed on various vehicle models in partnerships with OEMs.

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Published: September 2022

Glossary

computer vision: Computer vision enables computers to interpret and make decisions based on visual data, such as images and videos. It involves the development of algorithms, techniques, and systems that enable machines to gain an understanding of the visual world, similar to how humans perceive and interpret visual information. Key aspects and tasks within computer vision include: Image recognition: Identifying and categorizing objects, scenes, or patterns within images. This involves training...
artificial intelligence: The ability of a machine to perform certain complex functions normally associated with human intelligence, such as judgment, pattern recognition, understanding, learning, planning, and problem solving.
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
deep learning: Deep learning is a subset of machine learning that involves the use of artificial neural networks to model and solve complex problems. The term "deep" in deep learning refers to the use of deep neural networks, which are neural networks with multiple layers (deep architectures). These networks, often called deep neural networks or deep neural architectures, have the ability to automatically learn hierarchical representations of data. Key concepts and components of deep learning include: ...

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