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Bio

Volodymyr has over 10 years of practical experience in data analysis and modeling within different fields of study including time series analysis, computer vision, natural language processing/understanding, and others. Currently, he manages a large data science group, provides presales/delivery support, and also builds different models for commercial and demo purposes.

Visual mapping and navigation (Lviv SLAM)

Data Engineering & MLOps

  • Session Language |Ukraine
Driver with regular routes can drive without using the additional equipment, GPS, pre-installed maps, voice helper, or road rules. How he is doing that – it is mostly obvious – he is driving using his knowledge about the road, street view, traffic lights, etc. So the navigation looks like – ‘so I’m near the white sign pharmacy, to get to work I need to pass the red brick house, turn to the left and drive past two white houses, a traffic light and there at the end will be my job - a green glass business center’.Our case here – is to try to simulate such activity, add such navigation confidence for any driver in a previously unknown environment using modern Deep Learning methods and other Data Science possibilities

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