车载自组网实时协作定位系统及多数据源融合算法研究

项目名称： 车载自组网实时协作定位系统及多数据源融合算法研究

项目编号： No.61272061

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 王东

作者单位： 湖南大学

项目金额： 82万元

中文摘要： 满足应用环境复杂性要求的车辆实时协作定位技术是车载自组网(VANET: Vehicular ad hoc networks)应用的关键环节。本研究针对车辆运动速度快、定位时延问题突出等实际情况，提出满足实时、可靠要求的车载定位解决方案。首先，针对VANET的拓扑动态特性和定位的实时性要求，研究网络动态性、异构性和连通性等要素之间的制约关系，提出多尺度实时评价策略，研究车载定位的实时性分析方法，建立实时性评估模型。通过挖掘城市环境车辆运动特点，提出具有实时保证的车辆协作定位模型及其实时定位算法。通过分析网络层行为对协作定位的影响，研究多信道动态频谱分配问题，为车载协作定位的实时性提供网络保障。最后，对支持多信息源定位的数据融合机制进行研究，给出实时数据融合模型，据此提出支持容错和实时的融合体系结构，进而构建、优化实时定位系统仿真和物理验证平台，支撑车载定位面向实时、可靠的应用部署。

中文关键词： 车载自组网；协作定位；实时；数据融合；

英文摘要： This project focuses on the key technologies for vehicular ad hoc networks (VANETs), which have emerged as a radically new paradigm for the design of networking protocols, mobility models, and a variety of new applications. This technology has its roots in on-board sensors in vehicles, vehicle localization systems, and algorithms or protocols for ad hoc networks, which enable vehicle-to-vehicle communications without infrastructure equipment (e.g., base stations in cellular systems). A fundamental yet open issue is addressed: how rapidly and efficiently can position of vehicles be estimated in a vehicular ad hoc network? To address the unique challenges presented by mobility-induced localization delay problem, a complimentary approach to cooperative localization and its data fusion is employed. The project focuses on three issues: (1) Aiming at topological dynamic and real-time requirements of vehicle localization, to construct analysis method and model of real-time localization, develop new multi-scale real-time evaluation strategies and evaluation indicators. (2) Exploring the impact of the high-speed mobility of vehicles on localization performance, to develop new real-time cooperative localization model and algorithm that integrate characteristics of vehicle movement. (3) Exploring the impact of the network

英文关键词： VANETs；Cooperative Localization；Real-time；Data fusion；