• New workshop establishes an optimal test environment for object recognition solutions to improve SVNet performance and strengthen R&D capabilities
• Dongtan metropolitan location strengthens accessibility to the test center, where timely support for clients is available

STRADVISION, an automotive industry pioneer in deep learning-based vision perception technology, has opened a new ‘Autonomous Driving Workshop’ in Dongtan, Gyeonggi-do, Korea, to strengthen vehicle object recognition technology.

STRADVISION's new Autonomous Driving Workshop is available for optimizing and calibrating cameras and sensor equipment for autonomous driving within its nearly 18,000 square feet of space. It is equipped with an environment to verify and develop camera-based autonomous driving and various advanced autonomous driving technologies such as lidar and radar, enabling multiple research and development tailored to the level of autonomous driving technology. This is an independent workshop where up to 40 engineers can simultaneously test and develop 6 test vehicles.

STRADVISION has operated its development test center in Gyeongju, Korea, since its inception until recently. The newly expanded and relocated workshop in Dongtan has established a state-of-the-art test environment in a more spacious and comfortable space, enabling efficient solution development and effective promotion by significantly increasing the accessibility of global customers.

In particular, STRADVISION's Autonomous Driving Workshop is located in the most significant industrial cluster in the Dongtan metropolitan area, where many high-tech industries and large corporations are settled. It is expected to create various collaborations geographically.

“To verify STRADVISION’s autonomous driving technology and materialize customer demos, we expanded and relocated the workshop to where it can perform cutting-edge work while expanding the test space,” said STRADVISION CEO Junhwan Kim. “Through this newly opened workshop, we will further strengthen the various functions of the SVNet solution while further accelerating the mass production project with practical technology verification for customers.”