摘要
[目的/意义]无人驾驶汽车作为未来汽车的发展方向,深入挖掘其技术主题及发展趋势,对于精准了解技术动态、把握发展机会、科学制定战略规划具有重要意义。[方法/过程]以德温特专利数据库为数据源,利用引入技术词语境IPC的WI-LDA主题模型提取技术词,挖掘出专利文本中隐含的主题内容,并结合主题强度指标从宏观与微观两个角度对各技术主题研究热度与发展态势进行深入分析。[结果/结论]研究表明:在宏观方面,路径规划、转向控制、防撞和车道保持技术主题是目前研究热点;在微观方面,各技术主题研究已从无序发展到有序,且定位与测距、通讯、制动控制、转向控制、车道保持和智能巡航控制主题强度有上升趋势,是今后重点发展方向。
[Purpose/Significance]As the developing direction of the future car,tapping into driverless cars technology and their technical themes and development trends further is of great significance for accurately understanding industry trends,grasping development opportunities and scientifically formulating strategic plans.[Method/Process]Using the Derwent Innovation Index as a data source,the technical words were extracted by the technical words of the WI-LDA theme model introduced by the technology term IPC,and then the topic content implied in the patent text was mined,and combining with topic intensity index,the research intensity and development trend of each technology theme are deeply analyzed from both macroscopic and microscopic perspectives.[Result/Conclusion]The macroscopic aspects of path planning,steering control,collision avoidance and lane keeping technology topics is currently hot topics;microcosmic research on various technical topics has evolved from disorder to order,and the theme of positioning and ranging,communication,brake control,steering control,lane keeping and smart cruise control technology has an increasing trend and is the key development direction in the future.
作者
李昌
伊惠芳
吴红
冀方燕
Li Chang;Yi Huifang;Wu Hong;Ji Fangyan(Science and Technology Information Research Institute,Shandong University of Technology,Zibo 255049)
出处
《情报杂志》
CSSCI
北大核心
2018年第12期50-55,42,共7页
Journal of Intelligence
基金
国家社会科学基金项目"高校图书馆深度嵌入专利运营研究"(编号:16BTQ029)研究成果之一