Shape the future of autonomous vehicles with cutting-edge skills in AI, computer vision, and robotics.
Explore the PathGet ready to dive into the fascinating world of self-driving car engineering with these essential foundations.
Proficiency in Python, C++, algorithms, and software tools like Git and IDEs is essential.
Linear algebra, calculus, and probability are critical for AI and robotics applications.
Understand Newton's laws, motion, and forces to grasp vehicle dynamics and sensor operations.
Basics of neural networks, decision trees, and frameworks like TensorFlow and PyTorch.
Concepts like kinematics, control systems, and frameworks such as ROS.
Learn image processing, edge detection, and tools like OpenCV.
Understand the basics and impact of autonomous vehicles.
Learn Python, C++, and algorithms for robotics and AI.
Navigate the world of camera-based systems and sensor fusion.
Simulate a self-driving car navigating a virtual environment.