Course Description

This advanced course, offered by the University of Toronto, provides a comprehensive overview of motion planning for self-driving cars. With a focus on algorithms, theoretical computer science, and machine learning, students will gain the skills necessary to design and implement efficient and safe motion planning systems for autonomous vehicles. Throughout the course, students will learn about the latest advancements in the field of self-driving cars and how they are transforming the transportation industry. They will also explore the theoretical foundations of motion planning, including topics such as path planning, trajectory planning, and obstacle avoidance. In addition to theoretical concepts, this course also emphasizes hands-on experience with applied machine learning techniques and computer programming. Students will have the opportunity to work on real-world projects and gain practical skills that are highly sought after in the industry. The course is designed for students with a strong background in computer science, mathematics, or engineering, and a passion for the exciting world of self-driving cars. By the end of the course, students will have a deep understanding