Explore the field of modern robotics with a focus on self-driving cars. Learn about the challenges of building autonomous vehicles, the history of automatic driving features, and the trade-offs between speed and safety. The course covers topics such as partial autonomy, probabilistic robotics, and managing traffic congestion through robotic cars. The intended audience for this course includes individuals interested in robotics, autonomous vehicles, and the intersection of technology and transportation. The teaching method involves lectures that delve into specific examples, historical context, and future implications of self-driving cars.
Overview
Syllabus
Challenges of Building Self-Driving Cars
History of Automatic Driving Features
Examples and Purposes of Partial Autonomy
Ernst Dickmann's Robotics Car System
DARPA Grand Challenge for Autonomous Vehicles
Sebastian Thrun Leads Stanford Racing Team
Probabilistic Robotics and Modeling Uncertainty
Challenges of Urban Settings for Driverless Cars
How Robotics Car Systems Account for Collisions
Driverless Cars Increase Mobility and Independence
Managing Traffic Congestion through Robotic Cars
Taught by
Wondrium
