This page was machine-translated and may differ from the original. View original
The future of autonomous vehicles is all in Google's 'AI-powered autonomous vehicle' patents.
Futurist Director Cha Won-yong Publishes 'Google's AI-Powered Autonomous Vehicle - Patent Analysis Report'
Cha Won-yong, Director of the ASPAC Future Technology Management Institute and a leading futurist in Korea, has published the 'Google's AI-powered Autonomous Vehicle - Patent Analysis Report'.
Director Cha currently serves as a specialist committee member on ICT convergence at the National Science and Technology Council, Chairman of the Science and Technology Committee at the International Futures Society, and a director at the Creative Economy Research Institute. He also serves as an adjunct professor of future technology at KAIST’s IP Gifted Entrepreneurship Training Center and as a lecturer on future convergence technology at Yonsei University’s Graduate School of Engineering. Furthermore, he delivers approximately 150 lectures annually to contribute to the future and development of Korea’s industries, including at Samsung Electronics, LG Electronics, Hyundai-Kia Motors, SKT, KT, POSCO, the Korea Venture Business Association, the Korea Institute of Industrial Technology, and Technoparks.
The subject of the report recently published by Director Cha is autonomous vehicles, which have recently been attracting increasing attention. This study identifies 250 patents registered by Google with the U.S. Patent and Trademark Office from 2009 to December 31, 2015, regarding Google’s Self-Driving Car (SDC) project, specifically Self-Autonomous Cars and Autonomous Cars, and provides implications by organizing them into various categories through an analysis of 110 important patents among them.

Most of Google's patents consist of sensor systems, which are the core of autonomous vehicles, as well as Autonomous Driving Computer Systems and authentication systems between users and autonomous vehicles upon commercialization. Additionally, they cover software design capabilities related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)—the key elements of autonomous vehicles—and relate to situations encountered during actual road driving tests, as well as the learning processes involved.
"I hope that through this report, our country will also become a powerhouse in autonomous vehicles," said Director Cha Won-yong, the author. "Furthermore, I believe there is a chance of success if we integrate not only the automotive industry but also the ICT industry, cooperate with one another to set a vision and goals, organize our R&D well, and build an ecosystem that encompasses small and medium-sized enterprises and venture companies."
Book Introduction
Google's AI-powered Autonomous Vehicle - Patent Analysis Report
Author: Cha Won-yong
Publication Date: 2016-03-31
Page: Page 382
Price: 6,000,000 won (VAT excluded)
★ Table of Contents
1. Executive Summary
2. U.S. Autonomous Vehicle Policy and Recent Changes (Recognition of Autonomous Vehicles)
3. Current Status of Google's Autonomous Driving Tests and the Significance of the Autonomous Mode Deactivation Report
4. Background/History of Google's Autonomous Vehicle Development and Development of Core Technologies
5. In-depth Analysis of Google's Patents
5-1. Sensing System
5-2. Autonomous Driving Computer System
5-3. Authentication System Between User and Autonomous Vehicle
5-4. Vehicle or obstacle collision avoidance system
5-5. Other Services
5-6. Design Patent
6. Implications
7. Future Autonomous Vehicles Seen Through 2030 Trends
★ Introduction to the Author 'Cha Won-yong'
- Representative of ASPAC Future Technology Management Research Institute
- Expert Member of the ICT Convergence Expert Committee of the National Science and Technology Council
- Chairman of the Science and Technology Committee, International Futures Society
- Adjunct Professor of Future Society and Convergence Technology at Yonsei University Graduate School of Engineering
★ Inquiries regarding purchase, lectures, and consulting
Heo Jae-gwan : 010-6266-9582
Email: gbo1196@gmail.com
Cha Won-yong, Director of the ASPAC Future Technology Management Institute and a leading futurist in Korea, has published the 'Google's AI-powered Autonomous Vehicle - Patent Analysis Report'.
Director Cha currently serves as a specialist committee member on ICT convergence at the National Science and Technology Council, Chairman of the Science and Technology Committee at the International Futures Society, and a director at the Creative Economy Research Institute. He also serves as an adjunct professor of future technology at KAIST’s IP Gifted Entrepreneurship Training Center and as a lecturer on future convergence technology at Yonsei University’s Graduate School of Engineering. Furthermore, he delivers approximately 150 lectures annually to contribute to the future and development of Korea’s industries, including at Samsung Electronics, LG Electronics, Hyundai-Kia Motors, SKT, KT, POSCO, the Korea Venture Business Association, the Korea Institute of Industrial Technology, and Technoparks.
The subject of the report recently published by Director Cha is autonomous vehicles, which have recently been attracting increasing attention. This study identifies 250 patents registered by Google with the U.S. Patent and Trademark Office from 2009 to December 31, 2015, regarding Google’s Self-Driving Car (SDC) project, specifically Self-Autonomous Cars and Autonomous Cars, and provides implications by organizing them into various categories through an analysis of 110 important patents among them.
Most of Google's patents consist of sensor systems, which are the core of autonomous vehicles, as well as Autonomous Driving Computer Systems and authentication systems between users and autonomous vehicles upon commercialization. Additionally, they cover software design capabilities related to Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)—the key elements of autonomous vehicles—and relate to situations encountered during actual road driving tests, as well as the learning processes involved.
"I hope that through this report, our country will also become a powerhouse in autonomous vehicles," said Director Cha Won-yong, the author. "Furthermore, I believe there is a chance of success if we integrate not only the automotive industry but also the ICT industry, cooperate with one another to set a vision and goals, organize our R&D well, and build an ecosystem that encompasses small and medium-sized enterprises and venture companies."
Book Introduction
Google's AI-powered Autonomous Vehicle - Patent Analysis Report
Author: Cha Won-yong
Publication Date: 2016-03-31
Page: Page 382
Price: 6,000,000 won (VAT excluded)
★ Table of Contents
1. Executive Summary
2. U.S. Autonomous Vehicle Policy and Recent Changes (Recognition of Autonomous Vehicles)
3. Current Status of Google's Autonomous Driving Tests and the Significance of the Autonomous Mode Deactivation Report
4. Background/History of Google's Autonomous Vehicle Development and Development of Core Technologies
5. In-depth Analysis of Google's Patents
5-1. Sensing System
5-2. Autonomous Driving Computer System
5-3. Authentication System Between User and Autonomous Vehicle
5-4. Vehicle or obstacle collision avoidance system
5-5. Other Services
5-6. Design Patent
6. Implications
7. Future Autonomous Vehicles Seen Through 2030 Trends
★ Introduction to the Author 'Cha Won-yong'
- Representative of ASPAC Future Technology Management Research Institute
- Expert Member of the ICT Convergence Expert Committee of the National Science and Technology Council
- Chairman of the Science and Technology Committee, International Futures Society
- Adjunct Professor of Future Society and Convergence Technology at Yonsei University Graduate School of Engineering
★ Inquiries regarding purchase, lectures, and consulting
Heo Jae-gwan : 010-6266-9582
Email: gbo1196@gmail.com
본 기사에 대한 정정·반론·추후보도 청구는 보도 청구 안내를, 그간 게재된 보도문은 정정·반론보도 모아보기를 참고해 주세요.















