Innoviz Technologies Ltd. announced the successful completion of a winter test for its InnovizTwo LiDAR and Perception Software, a key engineering and R&D achievement. IInnoviz uses winter tests to measure and scrutinize the Company's products for thousands of kilometers. The data and insights accumulated are used to improve Innoviz's proprietary AI-backed software and hardware solutions.

Ahead of the drive, Innoviz received TÜV SÜD Certification Mark for Roof Racks, establishing an essential industry benchmark, approving the LiDAR roof setup to operate on roads. During an 18-day period, through more than 120 hours of driving, and across ten countries, including Germany, Denmark, Sweden, Finland, Estonia, Latvia, Lithuania, Poland, Czech Republic and Austria, the test demonstrated the effective performance of the Innoviz suite of advanced autonomous solutions in the harshest of winter conditions, including extreme temperatures, rain, snow, and heavy fog. The winter test provided invaluable data and insights for the vehicle as it traversed some of the world's most challenging driving conditions and the successful results demonstrate Innoviz's commitment to building best-in-class technology to power advanced autonomous driving.

In 2030, approximately 10 million LiDAR scanners across various autonomy levels are expected to be sold globally in the automotive market. The number of LiDAR scanners to be sold in 2035 is likely to be more than double according to IHS. InnovizTwo is a robust solution, operating seamlessly in the harshest of weather conditions.

Capable of supporting several levels of autonomy, InnovizTwo is Innoviz's next-generation LiDAR sensor featuring superior quality and bringing autonomous capabilities for automakers faster and cheaper. As the "Brain" behind the "Eyes" of the InnovizTwo LiDAR, the proprietary AI algorithms of Innoviz'sPerception Software provide advanced object detection, classification, and tracking features, as well as collision classification, localization, and calibration capabilities, with the potential to transform how autonomous cars perceive and navigate the world.