摘要
为了满足自动驾驶车辆的导航指引及道路信息动态反映需求,引入智能精细化高精度地图模型,解决智能交通领域中高精度地图的构建问题,进而为自动驾驶车辆提供精准、实时的导航指引。重点研究车道级路网的构建与智能精细化高精度地图生成方法之间的关系,并提出一种基于过滤侯选点算法(FCPA)的高精度地图生成方法,该方法包括车道图形计算、交叉口图形建立和其他车道轨迹计算等步骤,并通过试验验证所提方法的有效性。研究结果表明:与传统的地图生成算法相比,所提出的FCPA在精度和效率方面均表现出更优越的性能;该算法能够更准确地捕捉车道级路网的细节和特征,并在生成地图的过程中减少不必要的计算和冗余信息,降低了时间消耗,从而提高了地图生成的效率;该算法能够在保持生成地图精度要求的前提下,处理大规模地图数据,实现了精度和效率的平衡;所提出的FCPA具备动态更新地图的能力,可随交通环境的变化,进行地图信息数据的实时更新,以确保地图的准确性和实用性;该算法可为智能交通系统提供准确的道路信息和导航指引,提高系统的安全性和便捷性。
In order to meet the navigation and real-time reflection of road information and events for autonomous vehicles,an intelligent fine-grained high-precision map model was introduced,to solve the construction of high-precision maps in the field of intelligent transportation and provide accurate and real-time navigation guidance for autonomous vehicles.The relationship between the construction of lane-level road networks and the methods for generating intelligent fine-grained high-precision maps was studied,and a high-precision map generation method based on the FCPA was proposed,which includes steps such as lane geometry calculation,intersection graph construction,and other lane trajectory calculations.The effectiveness of the proposed method was validated through experiments.The results show that the FCPA outperforms traditional map generation algorithms in terms of accuracy and efficiency,it accurately captured the details and features of the lane-level road network,reduced unnecessary calculations and redundant information during map generation,and improves efficiency by reducing time consumption,and the FCPA is capable of handling large-scale map data while maintaining the required map accuracy,striking a balance between accuracy and efficiency.Additionally,the proposed FCPA has the capability of dynamically updating maps,and can update map information in real-time according to changes in the traffic environment,ensuring the accuracy and practicality of the map.This method provides accurate road information and navigation guidance for intelligent transportation systems,enhancing system safety and convenience.2tabs,10figs,24refs.
作者
容毅
薛子涛
周国光
RONG Yi;XUE Zi-tao;ZHOU Guo-guang(School of Economics and Management,Chang'an University,Xi'an 710064,Shaanxi,China;School of Economics and Management,Shaanxi College of Communications Technology,Xi'an 710014,Shaanxi,China;Honor Terminal Co.,Ltd.,Shenzhen 518049,Guangdong,China)
出处
《长安大学学报（自然科学版）》
CAS
CSCD
北大核心
2023年第3期105-115,共11页
Journal of Chang’an University(Natural Science Edition)
基金
陕西省社会科学界联合会项目(2022ND0419)
陕西省职业技术教育学会项目(2023SZX387)
关键词
交通工程
高精度地图
智能精细化高精度地图模型
车道级路网模型
过滤候选点算法
自动驾驶
traffic engineering
high-precision map
intelligent and refined high-precision map model
lane level road network model
filtering candidate point algorithm(FCPA)
automatic driving
作者简介
容毅(1981-),女,陕西西安人,副教授,工学博士研究生,E-mail:147935526@qq.com;通讯作者:周国光(1956-),男,江苏南京人,教授,博士研究生导师,E-mail:zhougg56@126.com。
