期刊文献+

基于车路协同的智能驾驶研究综述 被引量:7

A Review of Research on Intelligent Driving Based on Vehicle-Road Collaboration
下载PDF
导出
摘要 为了缓解日益增长的汽车保有量造成的交通事故多发,国外提出了基于环境感知为主的单车智能化方案,国内单车智能化研究的时间短,而且道路环境复杂多变,主要侧重于路侧基础设施智能化为主的车路协同方案。基于以上背景,首先简要叙述了近几年车路协同的发展路径,然后重点从智能网联汽车、车路协同关键技术、车路协同应用场景这3个方面详细叙述了国内外的研究进展,并总结了研究的不足之处。其次阐述了现有技术存在的问题、瓶颈,探讨了相应的解决方案,最后展望了车路协同未来的发展方向。 To mitigate frequent increasingly traffic accidents due to the growing car ownership,foreign countries have proposed intelligent solutions for single vehicle based on environmental perception,while in domestic the time of researching on single vehicle intelligence is short and the road environment is complex as well as changeable,mainly focusing on vehicle-road collaboration solutions based on roadside infrastructure intelligence.Against the above background,firstly,the development path of vehicle-road collaboration in recent years is briefly described.Then from 3 aspects containing intelligent networked vehicles,key technologies of vehicle-road collaboration and application scenarios of vehicle-road collaboration,the research progress at home and abroad is described in detail,in addition,the shortcomings of research are summarized.Secondly,the problems and bottlenecks of existing technologies are explained,in the meanwhile,the corresponding solutions are discussed.Finally,the future development direction of vehicle-road collaboration is prospected.
作者 张云顺 华国栋 李宁 梁军 谢锜帅 郜铭磊 Zhang Yunshun;Hua Guodong;Li Ning;Liang Jun;Xie Qishuai;Gao Minglei(Jiangsu Smart Travel Future Automobile Research Institute Co.,Ltd.,Nanjing 211111;Automobile Engineering Research Institute,Jiangsu University,Zhenjiang 212013)
出处 《汽车文摘》 2022年第6期49-57,共9页 Automotive Digest
关键词 单车智能 路侧基础设施智能化 车路协同 智能网联车辆 应用场景 Single vehicle intelligence Roadside infrastructure intelligence Vehicle-road collaboration Intelligent and networked vehicle Application scenario
  • 相关文献

参考文献21

二级参考文献180

共引文献336

同被引文献37

引证文献7

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部