Step into the core of the technology powering autonomous vehicles and explore every stage of the journey – from data labeling to full navigation!

Have you ever wondered how self-driving cars recognize traffic signs, detect pedestrians, or avoid obstacles on the road? Would you like to learn how AI models are trained for autonomous driving and even build your own? Now’s your chance!
The Eugenides Foundation invites you to an innovative 5-session workshop filled with technology, creativity, and hands-on experience – perfect for young innovators eager to explore the world of cutting-edge robotics and AI.

During this program, participants will:
• Use Label Studio for image annotation and train object detection models with the powerful YOLO framework.
• Build their own AI model to detect traffic signs, lights, pedestrians, and assess prediction accuracy.
• Work with the CoppeliaSim simulator, integrating distance estimation, collision avoidance, and autonomous navigation.
• Discover how a vehicle can recognize landmarks, navigate both familiar and unfamiliar spaces, and create real-time maps.
• Remotely control their robotic car on a dedicated track and compete in an exciting skills showcase challenge!

What you’ll gain:

• Understand key concepts of AI, machine learning, and computer vision.
• Gain practical experience in Python, labeling tools, and simulation environments.
• Develop computational and analytical thinking through creative applications.
• Enhance teamwork, collaboration, and problem-solving skills.
• Get hands-on exposure to the very technologies shaping the future of the automotive and robotics industries.

The workshop is conducted in the Greek language.

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