Self-Driving Cars: Perception & Control

Carnegie Mellon University · UGRD · Fall 2026

1 section

Catalog description

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

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Class #carnegie_mellon-16664Fall 2026UGRD12 credits

Days & times: No scheduled meeting time
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Instructor: Staff

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