基于道路侧基础设施支持的智能网联汽车协同感知系统SOTIF研究

Baobao Hu, Xin Jiang, Haitao Xing, Shenghua Chen, Zhibo He
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引用次数: 0

摘要

SOTIF已经成为智能驾驶大规模商用的最大障碍。本文结合国内的研究现状,指出SOTIF存在着重智能、弱连接的问题,偏离了中国智能与连接协调发展的技术路线。针对这一问题,本文结合本人的工作实践,在ISO21448规范的指导下,提出了基于路边基础设施支持的协同感知系统SOTIF研究框架。其特点是以车辆感知为核心,将路边感知系统作为车辆感知的一部分进行数据融合和目标识别,并提出整体评价框架和定量指标体系,为进一步研究提供思路和方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the SOTIF of intelligent connected vehicle cooperative sensing system based on road-side infrastructure support
The SOTIF has become the biggest obstacle to the large-scale commercial use of intelligent driving. Based on the domestic research status, this paper points out that there is a problem of heavy intelligence and weak connected in SOTIF, which deviates from the technological route of the coordinated development of intelligence and connected in China. In view of this problem, combined with my work practice, under the guidance of ISO21448 specification, this paper puts forward a SOTIF research framework for Cooperative Sensing System based on Road-side Infrastructure Support. Its feature is that it takes the vehicle perception as the core, uses the road-side perception system as a part of the vehicle sensing for data fusion and target recognition, and proposes an overall evaluation framework and quantitative index system, which provides ideas and directions for further research.
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