Self-driving cars: Why it is more complicated than it seemed
- AI, Intelligent Apps/Things
Typical problems in developing Autonomous Driving systems. A complex integration of various HW, a large amount of SW code to be designed, implemented and tested. Legal and regulatory aspects. Autonomous driving eco-systems being formed.
Specifically will be described how the different companies are solving these problems. “Tesla way” vs “Google way”.
The speech will be presented in English.
Project Manager, EPAM Systems
The author has more than 20 years’ experience in computer vision, robotics, high-performance computing, video and image processing, and many other fields.
In 2008, has founded the research company pioneered the activities in developing autonomous navigation systems for indoor unmanned robots. Has developed the number of products in computer vision, image processing, video analysis. Worked with such companies as Google, Netflix, IBM, and many others. For the last years actively researching the Artificial Intelligence technologies and building the products based on Neural Networks and Deep Learning. Hold the Ph.D. in Computer Vision.