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Autonomous Vehicle System Engineering | UIUC CS 588 by David Forsyth

David Forsyth

Comprehensive course on autonomous vehicle design, covering deep learning, computer vision, and control theory. Hands-on projects and simulations for practical experience.

University CoursesComputer VisionDeep LearningRobotics

Introduction

This course provides an overview of the system engineering principles and techniques required for the development of autonomous vehicles. It covers various aspects of autonomous vehicle design, including safety, perception, planning, and control.

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Highlights

  • Covers the technical foundations of autonomous vehicle systems, including deep learning, computer vision, and control theory
  • Includes hands-on projects and simulations to reinforce the concepts learned in the course
  • Taught by an experienced professor, David Forsyth, who is an expert in the field of autonomous systems

Recommendation

This course is recommended for students and professionals interested in the field of autonomous vehicles. It provides a comprehensive understanding of the key technologies and design principles involved in the development of autonomous vehicle systems. The hands-on projects and simulations make the course particularly valuable for those looking to gain practical experience in this rapidly evolving field.

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