二维码（扫一下试试看！） | | 无人车大数据与云控制技术综述 | | Overview of Big Data and Cloud Control Technologies in the Field of Unmanned Ground Vehicles | | 投稿时间：2020-04-22 | | DOI：10.15918/j.tbit1001-0645.2020.068 | | 中文关键词:无人车云控制技术大数据技术云大脑集群控制中心智能交通系统 | | English Keywords:unmanned ground vehicles(UGVs)cloud control technologybig data technologycloud brain control centerintelligent transportation system | | 基金项目:国家自然科学基金资助项目（51905036）；北京市自然科学基金资助项目（3202025） | | | 摘要点击次数:1281 | | 全文下载次数:529 | | 中文摘要: | | 无人车是指具有完全自主行驶能力并替代人类执行特定任务的智能车辆，在军用及民用领域都具有广泛应用前景，对国防安全建设与汽车产业发展都有着重要意义.近些年来，大数据与云控制技术的出现为各领域的发展提供了新的动能，成为推动智能交通与智慧城市建设的关键技术.本文首先综述了大数据技术的发展情况及其在车辆领域的应用现状，并以团队所研制的系列化功能型无人车为例，介绍了典型无人车的发展情况与关键技术的研究现状，阐述了无人车在军用、物流、巡逻、运输、接驳等国防和民用领域的应用前景.同时，基于团队所研制的无人车云大脑集群控制中心，展望了基于大数据与云控制技术的云端监控与控制技术在无人车领域的应用前景，阐述了其对无人车大规模产业应用的推动作用. | | English Summary: | | Unmanned ground vehicles(UGVs) refer to the vehicles that have full autonomous ability and replace humans to perform specific tasks. UGVs are supposed to be widely applied in the military and civilian fields,as well as making great contributions to the national defense and automotive industry. In recent years,the cloud control and big data technologies have provided new driving force for the development of various fields,and have become key technologies to promote the construction of intelligent transportation system and smart cities. In this paper,the development of big data and cloud control technologies and their application status in the vehicle field were reviewed first. Taking the series of multifunctional UGVs as an example,the development of typical UGVs and the research overview of key technologies were introduced. The application prospects of UGVs in military,logistics,patrol,transportation and other defense and civil fields were described. Based on the cloud control center of the UGVs developed by the team,the application prospect of cloud control and big data technologies in the field of UGVs was expected and its role in promoting the industrial application of UGVs was described. | | 查看全文查看/发表评论下载PDF阅读器 | |
张之得,王正杰,郝智渊.基于数据驱动的小型柔性翼飞行器控制研究[J].北京理工大学学报（自然科学版）,2021,41(2):177~185.ZHANGZhide,WANGZhengjie,HAOZhiyuan.ResearchonDataDrivenControlofaSmallFlexibleWi ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21邹恒光,宋继良,王军政,张磊,史大威.卫星编队的管道模型预测控制方法研究[J].北京理工大学学报（自然科学版）,2021,41(2):201~206.ZOUHengguang,SONGJiliang,WANGJunzheng,ZHANGLei,SHIDawei.SatelliteFormationC ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21周稼铭,张亮修,衣丰艳,彭剑坤.基于粒子群寻优的汽车自适应巡航预测控制[J].北京理工大学学报（自然科学版）,2021,41(2):214~220.ZHOUJiaming,ZHANGLiangxiu,YIFengyan,PENGJiankun.AdaptiveCruisePredictiveCont ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21纳文,孙福鹏,曾澍楠,孙华飞.正定矩阵流形上的系统控制算法[J].北京理工大学学报（自然科学版）,2021,41(2):221~225.AUNGNaingWin,SUNFupeng,ZENGShunan,SUNHuafei.ControlAlgorithmsforPositiveDefiniteMa ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21赵瑛峰,刘检华,马江涛,武林林,成勋.面向MCNP程序的三维模型前处理技术研究[J].北京理工大学学报（自然科学版）,2021,41(3):237~244.ZHAOYingfeng,LIUJianhua,MAJiangtao,WULinlin,CHENGXun.Studyon3DModelPretr ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21谭博文,段枫,王文广.基于技术风险的方案优化与评估方法的研究[J].北京理工大学学报（自然科学版）,2021,41(4):425~431.TANBowen,DUANFeng,WANGWenguang.ResearchonSchemeOptimizationandEvaluationMethodBas ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21汪首坤,刘大江,郭非,岳彬凯,陈志华,王军政.基于动力学模型预测控制的Stewart型轮足腿控制方法[J].北京理工大学学报（自然科学版）,2021,41(4):418~424.WANGShoukun,LIUDajiang,GUOFei,YUEBinkai,CHENZhihua,WANGJunzhe ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21管继富,赵宇枫,詹远,曹立.电动汽车空调系统随机模型预测控制算法研究[J].北京理工大学学报（自然科学版）,2021,41(5):480~486.GUANJifu,ZHAOYufeng,ZHANYuan,CAOLi.AStochasticModelPredictiveControlAlgorithm ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21袁志扬,朱煜,成荣,张鸣,刘剑,仲凯.高精度平面光栅尺测量系统减振技术研究[J].北京理工大学学报（自然科学版）,2021,41(5):494~500.YUANZhiyang,ZHUYu,CHENGRong,ZHANGMing,LIUJian,ZHONGKai.ResearchonVibration ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21徐豫新,蔡子雷,吴巍,赵鹏铎,乔治军.弹药毁伤效能评估技术研究现状与发展趋势[J].北京理工大学学报（自然科学版）,2021,41(6):569~578.XUYuxin,CAIZilei,WUWei,ZHAOPengduo,QIAOZhijun.CurrentResearchandDevelopme ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
|
