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Stanford University

Edge Computing in Autonomous Vehicles - Panel Discussion

Stanford University via YouTube

Overview

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This course on edge computing in autonomous vehicles aims to explore the intersection of technology and business models in the electrification, automation, connectivity, and sharing of automobiles. The course covers topics such as autonomous car companies, detection systems, socially acceptable autonomy, the future of connected and autonomous vehicles, autonomous systems, data generation, privacy and security, third-party operating systems, software, and the evolution of perception. The teaching method involves a panel discussion featuring industry experts sharing insights and engaging with audience questions. This course is intended for individuals interested in the advancements and challenges within the autonomous vehicle industry, particularly in the realms of technology, innovation, and business strategies.

Syllabus

Introduction
Presentation
Autonomous Car
Companies
Detection
Computer on wheels
Autonomous vehicles
Socially acceptable autonomy
Driving in autonomous mode
Future of connected and autonomous vehicles
Demo
Autonomous Systems
Data Generation
Privacy and Security
ThirdParty Operating Systems
Autoware Foundation
China
Software
Audience questions
Evolution of perception

Taught by

Stanford Online

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