StradVision, a developer of AI-powered vision perception technologies, has unveiled a three-year product roadmap aimed at addressing the evolving autonomous driving landscape and meeting customer demands.

At the core of this roadmap is SVNet MultiVision Gen 2, the company’s next-generation vision perception solution slated for completion by 2027, with a prototype debut planned for CES 2026. SVNet MultiVision Gen 2 offers enhanced vision perception capabilities over its predecessor by supporting 11 camera channels, enabling more precise environmental recognition.

The solution’s support of HD-Mapless autonomous driving L3 and L4 functionality similarly focuses on addressing limitations associated with Geo-fencing-based navigation. Designed as a scalable and flexible solution, MultiVision Gen 2 will offer seamless integration across various camera systems and autonomous driving levels, ensuring compatibility with a wide range of customer product lines.

StradVision will also integrate a range of AI technologies, including Vision Transformer and Vision Language Models (VLMs), to optimize performance in diverse driving environments. By building on its existing vision perception expertise, the company aims to develop a full-stack E2E solution for L3 and L4, applying a modular approach to enhance adaptability and efficiency.

Through this roadmap, StradVision is altogether aiming to accelerate the advancement of autonomous driving technology, as well as the commercialization of L3 and L4 autonomous vehicles.