融合5G/GNSS的车辆高精度鲁棒安全定位:进展与展望
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1. 东北大学 信息科学与工程学院,沈阳 110004;2. 东北大学 流程工业综合自动化国家重点实验室,沈阳 110004;3. 东北大学秦皇岛分校 控制工程学院,河北 秦皇岛 066004

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E-mail: geguo@yeah.net.

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TP273

基金项目:

国家自然科学基金项目(62173079,U1808205).


Secure robust precise vehicle localization with 5G/GNSS fusion: Advances and prospects
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Affiliation:

1. College of Information Science and Engineering,Northeastern University,Shenyang 110004,China;2. State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110004,China;3. School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China

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    摘要:

    不受环境和条件影响的准确、实时定位对于基于位置的车辆应用和自动驾驶至关重要.典型车辆定位通常依赖于全球卫星导航系统(GNSS),如美国GPS、中国北斗等,由于易受遮挡和阻塞,常将其与惯导、视觉等技术融合弥补GNSS缺陷.但车规级传感器易受驾驶状态、天气等因素影响,很难精确测量,影响定位性能.近年来,依托先进5G技术和广域基础设施建设,5G/GNSS融合定位可以提供更为精确鲁棒实时的位置结果,并逐渐成为车辆高精定位的主要手段.鉴于极少有车辆定位领域应用5G/GNSS融合方法的系统综述,面向车辆定位,从精度、鲁棒、实时安全等多方面分述基于5G/GNSS融合的先进定位方法,并探讨研究空白和未来研究方向.

    Abstract:

    Accurate and real-time localization independent of environment and conditions is essential for position-based vehicular applications and autonomous driving. The typical method for land-vehicle localization inevitably relies on global navigation satellite systems(GNSS), such as global positioning system(GPS) and BeiDou navigation satellite system(BDS). As the inevitable blockages, we often fusion it with other in-vehicle sensors (e.g., inertial or visual) to guarantee position accuracy. Nevertheless, it is hard to obtain high-quality observations from these vehicle-level sensors, which affects the localization performance. Recently, following the improvement of 5G technology and wide-area infrastructure, 5G/GNSS integrated localization has progressively become the main solution for high-precision vehicle positioning. However, there is no comprehensive review paper regarding vehicle localization based on the fusion of 5G and GNSS. Accordingly, this paper reviews the state-of-the-art 5G/GNSS fusion localization in vehicular realm from the aspects of accuracy, robustness, real-time security, etc., and discusses the research gaps and future research directions.

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郭戈,刘佳庚,孙晓峥.融合5G/GNSS的车辆高精度鲁棒安全定位:进展与展望[J].控制与决策,2023,38(2):289-303

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  • 在线发布日期: 2023-01-29
  • 出版日期: 2023-02-20
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