Explore the cutting-edge world of self-driving cars in this 30-minute lecture from The Great Courses. Delve into the challenges of building autonomous vehicles, tracing the history of automatic driving features and examining partial autonomy examples. Learn about Ernst Dickmann's pioneering robotics car system and the DARPA Grand Challenge that accelerated autonomous vehicle development. Discover how Sebastian Thrun led the Stanford Racing Team to victory and understand the principles of probabilistic robotics in modeling uncertainty. Examine the unique challenges posed by urban environments for driverless cars and how robotic systems account for potential collisions. Consider the societal benefits of autonomous vehicles, including increased mobility and independence for non-drivers, as well as their potential to manage traffic congestion.
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
