Self-driving cars

Machine Learning: Machine learning is a subset of artificial intelligence that enables computers to learn from data without being explicitly programmed. It allows self-driving cars to improve their driving capabilities over time through experience.

Sensor Fusion: Sensor fusion refers to the integration of data from multiple sensors (such as cameras, lidar, radar) to create a more accurate representation of the environment for self-driving cars.

Computer Vision: Computer vision involves teaching computers how to interpret visual information from images or videos. It plays a crucial role in enabling self-driving cars to recognize objects, pedestrians, traffic signs, and road conditions.