for advanced driver assistance systems and creation of navigation maps
Some traffic signs along new routes as well as new signs along familiar ones are often left unnoticed by a human. Our traffic signs recognition algorithm achieves the 98% precision.
A vehicle equipped with a precise positioning system, cameras and LIDARs is able to collect geodesic information about roads, roadside territories and buildings along as much as 500 km of route per day. Our technologies allow efficient recognition of objects, computation of their characteristics, creation of 3D surface models and measuring.
The condition of roads all over the world needs to be checked regularly. Our automated road defects recognition system makes the process of road monitoring several times cheaper and faster.
We are a spin-off from the Graphics & Media Lab at Lomonosov Moscow State University – the leading academic and research center in the field of computer vision and graphics in Russia.
We develop state of the art algorithms in computer vision and pattern recognition and transform them into working technologies.