All roads lead to Machine Learning – ML applied in self-driving cars

People say that all roads lead to Rome, but we’d venture to say that in the modern world, all roads lead to… Machine Learning.

The development of self-driving cars is one of the trendiest directions in the world of AI and Machine Learning. However, autonomous cars are powered by ML algorithms, which require vast amounts of driving data to function safely.

Join the webinar to discover how the data is processed and learn the right algorithms used in self-driving cars 🚗

🕒 Agenda

• The history of autonomous vehicles
• The current status of self-driving cars
• Algorithms for finding the environment and obstacles, localization in space, and movement planning
• Algorithms for generating steering angle and acceleration values
• Examples of autonomous driving open-source projects
• Q&A session

🎯 Who is the event aimed at?

The webinar is intended for developers, testers, and architects who have experience, work daily or are interested in any topics in the area of Machine Learning in the automotive sector.

Book to win

During the Q&A session, the person who asks the most interesting question will be rewarded with an ebook Applied Deep Learning and Computer Vision for Self-Driving Cars