中国工程科学2024，Vol.26Issue(1)：178-189,12.DOI:10.15302/J-SSCAE-2024.01.016
车路协同感知技术研究进展及展望
Vehicle‒Infrastructure Cooperative Sensing:Progress and Prospect
摘要
Abstract
Recently,the autonomous driving industry in China has been gradually shifting its focus from individual-vehicle intelligence to vehicle‒infrastructure cooperation.This shift has brought significant opportunities for the intelligent transportation industry.Although research on vehicle‒infrastructure cooperative sensing is still in its early stage in China,it shows a strong dedication to technological innovation,indicating significant potentials for future growth.This study examines the development status of vehicle‒infrastructure cooperative sensing and thoroughly explores the characteristics and status of core technologies that support vehicle‒infrastructure cooperative sensing.It discusses ongoing advancements in this field,investigates future technology trends,and proposes a range of recommendations for further development.Research indicates that vehicle‒infrastructure cooperative sensing is evolving toward the integration of multi-source data.Presently,its development directions mainly focus on the optimization of pure visual cooperative sensing,upgrades in LiDAR point cloud processing,advancements in multi-sensor spatiotemporal information matching and data fusion,as well as the establishment of a standards system for vehicle‒infrastructure cooperative sensing technologies.To further boost the rapid growth of vehicle‒infrastructure cooperation in China,increasing investment in the research and development of relevant technologies is advised.Enhancing partnerships among different industry sectors,establishing unified standards for processing perception data,and expediting the broad application of these technologies are also key recommendations.These strategies aim to position China advantageously in the global market of autonomous driving,contributing to the sustainable development of the industry.关键词
自动驾驶/车路协同感知/多源数据/激光雷达/视频摄像机/标准体系Key words
autonomous driving/vehicle‒infrastructure cooperative sensing/multi-source data/LiDAR/video camera/standards system分类
交通工程引用本文复制引用
伊笑莹,芮一康,冉斌,罗开杰,孙虎成..车路协同感知技术研究进展及展望[J].中国工程科学,2024,26(1):178-189,12.基金项目
中国工程院咨询项目"车路协同自动驾驶系统研究"(2022-XBZD-19) （2022-XBZD-19）
国家自然科学基金项目(41971342) （41971342）
江苏省研究生科研与实践创新计划项目(SJCX23_0073) （SJCX23_0073）
山东省重点研发计划项目(2020CXGC010118) Chinese Academy of Engineering project"Research on Vehicle‒Infrastructure Cooperative Autonomous Driving Systems"(2022-XBZD-19) （2020CXGC010118）
National Natural Science Fund Project(41971342) （41971342）
Postgraduate Research&Practice Innovation Program of Jiangsu Province(SJCX23_0073) （SJCX23_0073）
Key R&D Program Project in Shandong Province(2020CXGC010118) （2020CXGC010118）
