牛耘佳 歐先鋒 馬鑫 趙琳臻 張銀 張明
摘要:隨著世界范圍內機動車保有量的激增,駕駛輔助系統成為安全駕駛和智能駕駛中的重要輔助設備。同時,計算機視覺技術在近年有了較為快速的發展,各大汽車制造和電子設備企業越來越多地將其應用到駕駛輔助系統中。利用專利數據庫對駕駛輔助中的計算機視覺技術進行了數據分析,了解相關領域的技術分支,從該領域專利的年度分布、地域分布、重要申請人等信息進行了分析,歸納出該領域的技術發展演進過程,并對相關核心專利進行了分析,為該領域發展提供參考。
關鍵詞:駕駛輔助;計算機視覺;圖像識別;專利;技術分支
中圖分類號:TN94 文獻標志碼:A
文章編號:2095-5383(2018)02-0018-07
Data Analysis Computer Vision in Driving Assistant
NIU Yunjia1,OU Xianfeng2,MA Xin3,ZHAO Linzhen3,ZHANG Yin3,ZHANG Ming3
(1.Patent of Examination Cooperation Center of Patent Office, SIPO, Chengdu 61000, China; 2. School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang 414006, China;3.GCI Science &Technology Co.Ltd, Guangzhou 510300, China)
Abstract:
With the rapid increase in the number of vehicles in the world,driving assistant system plays a significant role in safe driving and intelligent driving. Meanwhile, computer vision technology has developed rapidly in recent years, and it has been widely applied in driving assistant system by many vehicle and electronic device manufacturing companies. Based on the patent database, data analysis on computer vision technology in driving assistant was completed and the technology branches of computer vision technology were obtained. According to the annual distribution, geographical distribution, important applicants and other information, the evolution of technology in this field was summarize. Finally, the related core patents were analyzed to provide reference for the development of this field.
Keywords: driving assistant; computer vision; image recognition; patent; technology branch
智能車輛技術主要分為自主導航和安全保障兩個方面。由于自主導航技術的應用依賴于智能交通系統的配套完善,短期內難以普及,其發展較為緩慢。而行車安全保障的相關技術卻可以率先應用于駕駛員輔助駕駛系統,從而為解決常規車輛因駕駛員主觀因素產生的事故提供有力的技術支持[1]。截至2017年底,我國的機動車保有量達3.10億輛,機動車駕駛人數達3.85億。機動車的普及為我們的生活帶來便捷,也帶來不容忽視的安全隱患,例如,司機視覺死角導致的車輛追尾、碰撞,停車空間受限導致的擦掛風險以及疲勞駕駛導致的駕駛危險等。因此,從泊車輔助、車道偏離提醒、車到保持、疲勞駕駛檢測等多方面保障人車安全的駕駛輔助系統一直是世界范圍內研究熱點[2]。……