南京邮电大学学报（自然科学版）2024，Vol.44Issue(6)：76-86,11.DOI:10.14132/j.cnki.1673-5439.2024.06.008
基于路段全局拓扑的协同感知视野优化分配方法
An optimized allocation method of cooperative perception view based on road segment global topology
摘要
Abstract
Based on the collaborative perception technology,the local views captured by several onboard cameras on a road segment can be uploaded to the edge servers deployed on the roadside.And these videos can be fused to generate the overall global view of the road segment,benefiting the intelligent driving.However,directly uploading and merging the visual data from all vehicles on the road segment can lead to significant communication and computational overhead,as well as challenges for timeliness.To address this issue,we propose a collaborative perception view optimization and allocation method based on the global topology of the road segment.This method constructs the global topology of the road segment based on connected components.Thus,an initial allocation scheme for the road segment views is obtained according to this topology.This scheme is further optimized by a segmented parallel genetic algorithm.The goal is to minimize redundant data uploads,reduce the load on the mobile edge computing(MEC)edge server,and consequently enhance the efficiency of the global view fusion for the road segment.The feasibility and effectiveness of the proposed approach are validated through simulation experiments.关键词
车联网/协同感知/全局拓扑/近似算法/遗传算法Key words
vehicular networks/cooperative perception/global topology/approximation algorithm/genetic algorithm分类
信息技术与安全科学引用本文复制引用
刘茜萍,吴孝宇,张琳..基于路段全局拓扑的协同感知视野优化分配方法[J].南京邮电大学学报（自然科学版）,2024,44(6):76-86,11.基金项目
国网科技项目(5700-202318292A-1-1-ZN)资助项目 （5700-202318292A-1-1-ZN）
