Toward Total Scene Understanding for Autonomous Driving
Offered By: Paul G. Allen School via YouTube
Course Description
Overview
Explore the cutting-edge developments in autonomous driving technology through this Ben Taskar Distinguished Memorial Lecture delivered by Drago Anguelov from Waymo. Delve into the crucial role of machine learning in building a robust and scalable autonomous vehicle stack, covering key capabilities such as perception, behavior prediction, planning, simulation, and evaluation. Discover recent Waymo research on high-performance ML models and architectures designed to handle the complexity of real-world environments. Gain insights into how advancements in autonomous driving can impact people with disabilities and learn about current open questions in enhancing embodied AI agent capabilities. Benefit from Anguelov's extensive experience in computer vision, 3D perception, and machine learning applications in autonomous systems.
Syllabus
Toward Total Scene Understanding for Autonomous Driving—Drago Anguelov (Waymo)
Taught by
Paul G. Allen School
Related Courses
Motion Planning for Self-Driving CarsUniversity of Toronto via Coursera Self-Driving Cars
University of Toronto via Coursera 컨볼루션 신경망
DeepLearning.AI via Coursera Advanced Driver Assistance Systems (ADAS)
Udemy Smart Physical Systems from the Standpoint of an AI Company
Stanford University via YouTube