16-664 Self-Driving Cars: Perception & Control

12 units, Carnegie Mellon University

This course will teach the theoretical underpinnings of selfdriving car algorithms and the practical application of the material in handson labs. Topics will include deep learning, computer vision, sensor fusion, localization, trajectory optimization, obstacle avoidance, and vehicle dynamics.

Prerequisites: none listed

Courseweave needs JavaScript to show sections, workloads and planning tools.