Providing advanced 3D technology, TetraVue today announced the close of its Series A funding at $10M. The financing is led by Robert Bosch Venture Capital and Nautilus Venture Partners, and joined by Samsung Catalyst Fund as well as Foxconn. The funding will enable TetraVue to bring its Ultra High Definition, Solid State Flash LIDAR to the autonomous car industry, and to be the leader in Vision for Things (VfT).
TetraVue makes collecting high resolution 3D data and imagery simple and cost effective as autonomous cars become a reality within the next few years. It's currently developing partnerships with car manufacturers, auto AI software developers, and other hardware makers to be an intricate part of what can only be described as the "eyes and brain" of self-driving vehicles.
TetraVue's Ultra High Definition resolution helps robust identification of unexpected and dangerous obstacles at hundreds of meters that is not being done on cars today -- and needed to reach true autonomy. As on-board computers will make split second decisions to adapt to road conditions and react to the unexpected, car vision and LIDAR systems will have to determine at a safe distance what the nature of the obstacle is accurately and instantly; distance alone scanned a few points at a time is insufficient.
Founded in 2008, TetraVue's Ultra High Resolution products take an entirely new approach to Flash LIDAR technology and are a product of several years of experimental research. TetraVue's technology results in 2 million or more simultaneous distance measurements of ranges -- greater than 200 meters in any weather conditions and utilizes orders of magnitude less power than competitors. This performance is optimal for the autonomous car industry, and TetraVue plans to miniaturize and commercialize its fully functioning prototype. As the visualization needs of businesses and consumers become more sophisticated, increasingly complex machines require a 3D depth vision for maximal efficiency. TetraVue's 3D camera will also play a large role across industries such as enterprise level mapping and augmented reality.
