Autonomous Systems

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Visual Perception for Self-Driving Cars (Coursera)

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 [...]
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State Estimation and Localization for Self-Driving Cars (Coursera)

Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them [...]
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Introduction to Self-Driving Cars (Coursera)

Welcome to Introduction to Self-Driving Cars, the first course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the terminology, design considerations and safety assessment of self-driving cars. By the end of this course, you will be able to: Understand commonly used hardware used [...]
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Intelligent Systems: An Introduction to Deep Learning and Autonomous Systems (FutureLearn)

Discover the benefits and risks of deep learning and its uses in systems such as assistive technology and facial recognition. Delve into the inner workings of deep learning. From Ada Lovelace until the first decade of this century, we have relied on expert computer programmers to design and write [...]
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Decision-Making for Autonomous Systems (edX)

Learn effective tactics for making key decisions when working with autonomous, self-driving vehicles. In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach [...]
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Capstone: Autonomous Runway Detection for IoT (Coursera)

The students will develop a larger system using the learning outcomes from these courses, and the students will evaluate the developed system in a real-world programming environment. This course is a true engineering task in which the student must, not only implement the algorithm code, but also handle the [...]
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Multi-Object Tracking for Automotive Systems (edX)

Learn how to localize and track dynamic objects with a range of applications including autonomous vehicles. Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. [...]
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Drones and Autonomous Systems 2: Applications in Emergency Management (edX)

Learn the latest applications of unmanned aerial systems (UAS) in emergency management, public safety, and industry, as well as the potential risks UAS pose to safety and privacy. If you want to be the technology specialist who can procure and gain insight into cutting edge systems to help save [...]
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Drones and Autonomous Systems I: Fundamentals (edX)

Learn the essentials you need in order to use cutting edge drone technology. Are you interested in learning about drones, be it casual or in-depth? You can use this course to gain insight into the basic elements of commercial-off-the-shelf (COTS) drone systems used in civilian missions and into Federal [...]
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Motion Planning for Self-Driving Cars (Coursera)

Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main planning tasks in autonomous driving, including mission planning, behavior planning and local planning. By the end of this course, you will be able to [...]
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