Patent Analysis and Technology Trends on the Stability Function of Advance Vehicle Control System(AVCS)

碩士 === 中華大學 === 科技管理學系 === 106 === Artificial intelligence (AI) has reduced manpower need, improved work efficiency, and replaced some labor-intensive works with its ability to systematically and continuously repeat the same actions with high stability. Development of autonomous vehicles, an applica...

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Bibliographic Details
Main Authors: Yun-Shang ZHAO, 趙芸賞
Other Authors: Yi-Hsuan Lai
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/7wnga7
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Summary:碩士 === 中華大學 === 科技管理學系 === 106 === Artificial intelligence (AI) has reduced manpower need, improved work efficiency, and replaced some labor-intensive works with its ability to systematically and continuously repeat the same actions with high stability. Development of autonomous vehicles, an application of AI, began in the nineties after ISTEA Act proposed the concept of intelligent transportation systems (ITS). Today, major automobile manufacturers are conducting field tests of self-driving prototype cars around the globe. It is believed that in the near future, human beings will be able to save time and effort on driving due to the well-developed self-driving technology and the mass production of autonomous vehicles, and thus reduce the accident rate caused by human error and fatigue driving. This paper first conducted an industry analysis of eight stability systems of Advanced Driver Assistance System (ADAS), including Anti-lock Braking System (ABS), Electronic Brake Force Distribution (EBD), Traction Control System (TCS), Electronic Stability Program (ESP), Hill-start assist control (HAC), Hill Descent Control system (HDC), Cornering Brake Control (CBC), and Roll Stability Control System (RSC) and examined the present technology development status of various car manufacturers. The paper then set conditions and searched stability system patents certified by the United States Patent and Trademark Office using M-Trends patent analysis software and used the data collected to analyze the number of patents of countries, the yearly trend of the number of patents of companies, technology lifecycle, citations, and International Patent Classification (IPC). The purpose of this analysis is to understand the present status and the future development trends of autonomous vehicle stability system. The result of the analysis shows that HAC, ESP, and HDC are in the growth phase, while ABS, EBD, TCS, and CBC have reached the maturity phase. Japan and the United States dominated the research and development of the stability system in the world and the main competitors are Toyota Motor Corporation and Ford Motor Company. Toyota focuses on ESP development, followed by HAC, while Ford concentrates on TCS, followed by HDC. Majority of the stability system technology is classified in the subclass B60T 8/00 in IPC. The classification is based on the adjustments of brake control systems for adapting to the road surface condition changes.