基于情景感知的可靠可信城市车辆定位关键技术研究

项目名称： 基于情景感知的可靠可信城市车辆定位关键技术研究

项目编号： No.61472255

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 自动化技术、计算机技术

项目作者： 朱弘恣

作者单位： 上海交通大学

项目金额： 80万元

中文摘要： 实时获取车辆精确位置信息，尤其是在城市环境下，对行车安全、交通管理和改善出行体验等应用十分重要。现有定位方法如卫星和基站定位、雷达和图像处理对于定位城市车辆并不可靠。本课题着重基于城市情景感知的可靠可信车辆定位关键技术研究。首先，拟通过被动监测和主动探查手段，探索新型车辆定位适用的情景上下文，提出可用性判定理论和方法，为研究基于情景上下文的定位技术奠定可靠的数据基础；其次，拟利用情景上下文轨迹信息的时空相关特性，研究基于情景上下文相关的车辆相对位置检测方法，考虑系统可扩展性，研究车辆追踪技术；最后，面向智能移动终端，研究城市大规模广义情景上下文地图构建方法，面向多源、异构、高维的情景上下文信息，研究广义情景地图匹配方法。本课题有科学的研究方案作支撑，坚实的研究基础和研究条件作保障。课题的成功开展将突破全天候、全场景的车辆定位的若干关键技术，为推进我国智能交通领域发展做出创新性的贡献。

中文关键词： 车辆定位；相对定位；车辆间通信；城市环境；情景感知

英文摘要： With the booming of modern transportation in China, automobile has greatly affected every aspect of the public's daily life and business. The location information of vehicles obtained in real time, especially in urban scenarios, is of great importance to driving safety, road efficiency and experience of travelers. Existing localization schemes such as GPS, radar and image processing are neither reliable nor accurate for localizing vehicles in urban environments. This project will focus on context-aware reliable and accurate vehicular localization in urban settings, which will be directed in the following three thrusts. First, we will investigate new context types suitable for vehicular localization and study the theory and feasible methods to determine the usability of those new context types. Second, we will further explore the temporal and spacial characteristics of those newly found context information and design vehicular relative localization schemes based on the correlation of context information. Furthermore, we will take the system scalability into account and study cost-efficient tracking approaches. Last, we will utilize the popularity of smart mobile devices such as smartphones and tablets to study methods on establishing large-scale urban context maps. Moreover, we will design new map matching algorithms based on heterogeneous high-demension context information of different types. The significance of the proposed research lies in the following respects: first, this project will help to push the frontier of traffic safety technology, ensuring travel safety; second, the cutting-edge research will help to establish more intelligent transportation systems; third, the project emphasizes validation of the protocols and algorithms via testbed experiment, which will enable the development of new products and help to foster a vital competitive edge for China industry in the international market place.

英文关键词： vehicular localization;relative localization;inter-vehicle communications;urban settings;context awareness