{“状态”:“确定”,“消息类型”:“工作”,“信息版本”:“1.0.0”,“邮件”:{“索引”:{“日期-部件”:[[2024,6,27]],“日期-时间”:“2024-06-27T07:50:02Z”,“时间戳”:1719474602198},“引用-计数”:21,“发布者”:“Elsevier BV”,“许可证”:[{“开始”:“日期-零件”:[2018,10,1]],”日期-时间“:”2018-10-01T00:00:00Z“,”timestamp“:1538352000000},”content-version“:“tdm”,“delay-in-days”:0,“URL”:“https:\\/www.elsevier.com//tdm\/userlicense\/1.0\/”}],“内容域”:{“域”:[“elsevier.com”,“sciencedirect.com”],“crossmark-restriction”:true},“short-container-title”:[”计算机与电气工程“],“published-print”:{“date-parts”:[2018,10]]},”DOI“:”10.1016\/j.compleceng.2018.07.055“,”类型“:“journal-article”,“created”:{“date-parts”:[[2018,8,24]],“date-time”:“2018-08-24T03:47:29Z”,“timestamp”:1535082449000},“page”:“477-484”,“update-policy”:”http:\\/dx.doi.org\/10.10016\/elsevier_cm_policy“,”source“Crossref”,“is-referenced-by-count”:11,“title”:[“基于随机加权粒子群优化的改进Rao-Blackwellised粒子滤波器”],“前缀”:“10.1016”,“体积”:“71”,“作者”:[{“给定”:“Ye”,“家族”:“Zhao”,“序列”:“first”,“affiliation”:[]},{“given”:“Ting”,“family”:“王”,“sequence”:“additional”,“从属关系”:[]},}“给定的”:“文”,“家庭”:“秦”,“顺序”:“additional”,“隶属关系”:[]},{“给定”:“兴华”,“家庭”:“张”,“序列”:“附加”,“隶属”:[]}],“成员”:“78”,“参考”:[{“问题”:“7553”,“关键”:“10.1016\/j.compleceng.2018.07.055_bib0001”,“首页”:“1”,”文章标题“大脑智能:超越人工智能”,“作者”:“卢”,“年份”:“2017”,“新闻标题”:“Mob Net w应用程序“},{”问题“:“6”,“key”:“10.1016\/j.com.peleceng.2018.07.055_bi0002”,“doi断言者”:“crossref”,“首页”:“1052”,“doi”:“10.1109\/TPAMI.2000.1049”,“文章标题”:“MonoSLAM:实时单摄像头SLAM”,“卷”:“29”,“作者”:“Davison”,“年份”:“2007”,“期刊标题”:“IEEE Trans-Pattern Anal Mach-Intell”},{“key”:“10.1016\/j.com.peleceng.2018.07.055_bi0002 0003英寸,“series-title”:“概率机器人”,“author”:“Thrun”,“year”:“2005”},{“issue”:“3”,“key”:“10.1016\/j.compleceng.2018.07.055_bib0004”,“doi-asserted-by”:“crossref”,“first page”:”376“,“doi”:“101109\/70.88147”,“article-title”:”通过跟踪几何信标定位移动机器人“,”volume“:”7“,“author”:“Leonard”,“年份”:“2002年,“新闻标题”:“IEEE Trans-Robot Autom”},{“key”:“10.1016\/j.compleceng.2018.07.055_bib0005”,“series-title”:“美国控制会议论文集”,“首页”:“2369”,“文章-标题”:“未知相关性存在下的非发散估计算法”,“卷”:“4”,“作者”:“Julier”,“年份”:“1997”}:“10.1016\/j.compleceng.2018.07.055_sbref0006”,“article-title”:“使用强化学习对无人机进行电机异常检测”,“volume”:“99”,“author”:“Lu”,“year”:“2017”,“journal-title“:”IEEE Int Things j“},{“key”:”10.1016\/j.coppleceng.2018.07.055 _bib0007“,“unstructured”:“Doucet A,Johansen AM。粒子过滤和平滑教程:十五年后。非线性滤波手册2009;12:656\u2013704.“},{“issue”:“9”,“key”:“10.1016\/j.com.peleceng.2018.07.055_bi0008”,“doi断言者”:“crossref”,“首页”:“2646”,“doi”:“10.1109\/TIP.2015.2427518”,“文章标题”:“具有局部加权距离度量的反向稀疏跟踪器”,“卷”:“24”,“作者”:“王”,“年份”:“2015”,“期刊标题”:“IEEE Trans Image Process”},{“issue”:“9”,“key“:”10.1016\/j.compleceng.2018.07.055_bib0009“,”doi-asserted-by“:”crossref“,”首页“:”1709“,“doi”:“10.1109\/TCSVT.2015.2462012”,“article-title”:“通过最小软阈值平方的稳健视觉跟踪”,“volume”:“26”,“author”:“Wang”,“year”:“2016”,“journal-title“:”IEEE Trans Circuits Syst Video Technol“},{“issue”:“4”,“key”:”10.1016\/j.compleceng.2018.07.055_bib0010“,”doi-asserted-by“:”crossref“,”first page“:”808“,”doi“:”10.1109\/TRO.2008.924946“,”article-title“:”Unscented fastSLAM:一个健壮高效的SLAM问题解决方案“,”volume“:“24”,”author“:”Kim“,”year“2008”,”journal-title”:“IEEE Trans-Rob”},{“issue”:“2”,“key”:“”10.1016\/j.compleceng.2018.07.055_bib0011“,”doi-asserted-by“:”crossref“,”first page“:”283“,”doi“:”10.1007\/s10846-010-9457-0“,“article-title”:“在多机器人系统中使用Rao-Blackwellized粒子过滤器进行同步定位和映射”,“volume”:“63”,“author”:“Carlone”,“year”:“2011”,“journal-title“:”j Intell Rob Syst“},{“issue”:“4”,“key“:”10.1016\/j.compleceng.2018.07.055_bib0012“,”doi-asserted-by“:”crossref“,”first-pages“:”472“,“doi”:“10.1007\/s11768-011-9105-7”,“article-title”:“改进的Rao-Blackwellized粒子过滤器,用于使用单个移动传感器同时进行机器人定位和人员跟踪”,“volume”:“9”,“author”:“Qian”,”year“:”2011“,”journal-title“:”控制理论技术“},{”key“:”10.1016\/j.compleceng.2018.07.055_bib0013“,”首页“:”1942“,”article-title“:”粒子群优化“,”volume“:“4”,”author“:”Kennedy“,”year“:”2002“,”journal-title”:“IEEE Int Conf Neural Netw”},“issue”:“8”,“key”:“10.1016\/j.coppleceng.2018.07.055/bib0014”,“doi-asserted-by”:“crossref”,“首页”:“5542”,“DOI“:”10.1016\/j.eswa.2010.02.059“,”article-title“:”基于EKF的移动机器人同时定位与映射(SLAM)问题解决方案的鹅粒子群优化模糊监督“,”volume“:”37“,”author“:”Chatterjee“,”year“:”2010“,”journal-title”:“Expert Syst Appl”},{“issue”:“1”,“key”:“10.1016\/j.compeleceng.2018.07.055_bib0015”,“,”doi-asserted-by“:”crossref“,”first page“:”41“,”doi“:”10.1016\/j.compeleceng.2013.10.016“,”article-title“:”使用联合三边过滤器进行水下图像去叠“,”volume“:“40”,”author“:”Serikawa“,“year”:“2014”,“journal-title”:“Compute Electr Eng”},{“issue”:“6”,“key”:“10.1016//j.compelleceng.2018.07.055_bib0016”,”,“doi-asserted by“:”crossref“,”doi“:”10.1002 \/cpe.3927“,”article-title“:“用卷积神经网络进行伤口强度校正和分割”,“volume”:“29”,“author”:“Lu”,“year”:“2017”,“journal-title”:“Concurr Comput Pract Exp”},{“issue”:“3”,“key”:”10.1016\/j.compleceng.2018.07.055_bib0017“,“doi-asserted-by”:“crossref”,”first page“108”,“doi”:“10.1109 \/MRA.2006.16 78144英寸文章标题“:“同步定位和映射(SLAM):第二部分”,“卷”:“13”,“作者”:“Bailey”,“年份”:“2006”,“期刊标题”:“IEEE Robot Autom Mag”},{“key”:“10.1016\/j.com.peeceng.2018.07.055_bi0018”,“系列标题”:“IEEE机器人与自动化国际会议”,“首页”:“250”,“文章标题”:“在非国家环境中使用声纳传感器的稳健RBPF-SLAM”,“作者”:“Lee”,“年份”:“2010”},{“密钥”:“10.1016\/j.compleceng.2018.07.055_bib0019”,“series-title”:“第十六届人工智能不确定性会议论文集”,“首页”:“176”,“文章标题”:“动态贝叶斯网络的Rao-Blackwellised粒子滤波”,“author”:“Doucet”,“year”:“2000”},{“key”:“10.1016\/j.compleceng.2018.07.055_bib0020”,“series-title”:“Proceedings of the robots and automation”,“first page”:《1322》,“article-title”:《Montecarlo localization for mobile robots》,“volume”:10.1016\/j.compleceng.2018.07.055_bib0021“,“series-title”:“第三届传感、信号处理与安全国际会议论文集”,“首页”:“339”,“article-title”:“基于粒子群优化算法的室内清洁机器人障碍物检测”,“作者”:“Pavithra”,“年份”:“2017”}],“集装箱标签”:[“计算机与电气工程”],“original-title“:[],”language“:”en“,”link“:[{”URL“:”https:\/\/api.elsevier.com/content\/article\/PII:S004579061830870X?httpAccept=text\/xml“,”content-type“:”text\/xml“,”content-version“:”vor“,”intended-application“:”text-mining“},{”URL:“https:\//api.elsevier.com/content\/aarticle\/PII:S00457 906183070X?httpAccept=text\/plain“,”content-type“:”text\/plain“,”content-version“:”vor“,”intended-application“:”text-mining“}],”deposed“:{”date-parts“:[[2020,7,3]],”date-time“:”2020-07-03T13:05:00Z“,”timestamp“:1593781500000},”score“:1,”resource“:{primary”:{“URL”:“https:\/\/linkinghub.elsevier.com\/retrieve\/piii\/S004579061830870X”},“subtittle”:[],“短标题”:[],”已发布“:{”date-parts“:[[2018,10]]},”references-count“:21,”alternative-id“:[”S004579061830870X“],”URL“:”http://\/dx.doi.org\/10.1016\/j.compleceng.2018.07.055“,”relation“:{},“ISSN”:[”0045-7906“],“ISSN-type”:[{“value”:“0045-7906'”,”type“:”print“}],”subject“:[],”published“:{”date-part rts“:[[2018,10]]},”断言“:[{“value”:“Elsevier”,“name”:“publisher”,“label”:“本文由“},{”value“:“基于随机加权粒子群优化的改进Rao-Blackwellised粒子滤波器”,“name”:“articletite”,“label”:“article Title”},“value”:“Computers&Electrical Engineering”,“name:”journaltitle“,”label“:”Journal Title“}、{”value“:”https:\/\/doi.org\/101016\/j.compleceng.2018.07.055“,”name“:”articlelink“,”label“:”CrossRef DOI link to publisher maintained version“},{“value”:“article”,“name”:“content_type”,“label”:“content-type”},}“value”:“\u00a9 2018 Elsevier Ltd.保留所有权利。”,“名称”:“版权”,“标签”:“copyright”}]}