检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:霍治方 刘刚[1,2] Huo Zhifang;Liu Gang(School of Economics,Nankai University,Tianjin 300071,China;China Academy of New Generation Artificial Intelligence Development Strategy,Tianjin 300071,China)
机构地区:[1]南开大学经济学院,天津300071 [2]中国新一代人工智能发展战略研究院,天津300071
出 处:《中国科技论坛》2024年第7期95-109,共15页Forum on Science and Technology in China
基 金:中国工程院战略研究与咨询项目“场景驱动的人工智能技术升级和产业发展”(2023-HY-11);教育部哲学社会科学实验室专项基金研究项目“中国智能网联汽车社会实验研究”(H0122702);天津市智能制造专项资金项目“智能网联汽车仿真测试实验室建设”(20201197)。
摘 要:自动驾驶是当今交通社会转型的一种变革性力量。作为人工智能技术集中应用的典型场景,自动驾驶具备技术和社会“双重”属性,其产业化过程本质上是技术因素和社会因素相互建构的过程。基于175家智能网联汽车企业的关系数据和819份自动驾驶实地社会实验的问卷数据,对中国自动驾驶产业化实践方案的形成机制与理论逻辑进行系统分析。研究表明:自动驾驶在高环境嵌入性作用下,一方面嵌入中国复杂道路环境,另一方面嵌入中国独特社会环境,导致以单车智能为核心的技术路线难以为继,最终在一系列互补性技术创新和多元创新主体协同创新作用下,以车路协同为核心的智能网联汽车发展道路成为中国自动驾驶产业化的实践选择。Autonomous driving is a transformative force in today s transportation society.As a typical scenario for the concentrated application of artificial intelligence technology,autonomous driving possesses a“dual”nature of both technology and society.Its industrialization process is fundamentally a co-construction process of technology and social factors.Based on relationship data from 175 intelligent connected vehicle companies and questionnaire data from 819 real-world social experiments on autonomous driving,a systematic analysis was conducted on the formation mechanism and theoretical logic of China s autonomous driving industrialization practice.The research indicates that,under the high environmental embeddedness of autonomous driving,it is embedded in China s complex road environment on one hand and China s unique social environment on the other hand.This necessitates changes to the technology roadmap with a focus on single-vehicle intelligence.Ultimately,through a series of complementary technological innovations and collaborative innovation efforts among diverse innovation actors,the development path of intelligent connected vehicles with vehicle-road coordination at its core has become the practical choice for the industrialization of autonomous driving in China.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.21.113.219