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, head of research at Waymo. Delve into the crucial role of machine learning in creating a robust and scalable autonomous vehicle stack, encompassing 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. Examine the potential impact of autonomous driving advancements on people with disabilities and consider current open questions about enhancing embodied AI agent capabilities through machine learning. Gain insights from Anguelov's extensive experience in 3D vision, pose estimation, and computer vision systems developed during his tenure at Google and Zoox.
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