Visual Perception for Self-Driving Cars

Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. By the end of this course, you will be able to work with the pinhole camera model, perform intrinsic and extrinsic camera calibration, detect, describe and match image features

• Work with pinhole camera model and perform camera calibration
• Detect, describe and match image features; design convolutional neural networks
• Apply methods to visual odometry, object detection and tracking
• Apply semantic segmentation for drivable surface estimation

• Advanced math and basic programming knowledge
• Understanding of machine learning and computer vision fundamentals