多传感器集成的特征级方法强调机器人应用

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems Pub Date : 1994-10-02 DOI:10.1109/MFI.1994.398415

S. Bruder, M. Farooq, M. Bayoumi

{"title":"多传感器集成的特征级方法强调机器人应用","authors":"S. Bruder, M. Farooq, M. Bayoumi","doi":"10.1109/MFI.1994.398415","DOIUrl":null,"url":null,"abstract":"Employing a feature level description of the robotic environment the two important issues of what to fuse and how to fuse are developed in detail. The former is known as the registration (or correspondence) problem, and the latter the fusion problem. The registration procedure is addressed by a comprehensive two stage process, The first stage affords the development of local sensor interpretations which are then registered between sensors and fused to construct a global interpretation. To perform the actual fusion, information-scaled estimates are employed to develop a decentralized fusion structure; temporal and spatial alignment is also supported.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A feature-level approach to multi-sensor integration; emphasizing robotic applications\",\"authors\":\"S. Bruder, M. Farooq, M. Bayoumi\",\"doi\":\"10.1109/MFI.1994.398415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Employing a feature level description of the robotic environment the two important issues of what to fuse and how to fuse are developed in detail. The former is known as the registration (or correspondence) problem, and the latter the fusion problem. The registration procedure is addressed by a comprehensive two stage process, The first stage affords the development of local sensor interpretations which are then registered between sensors and fused to construct a global interpretation. To perform the actual fusion, information-scaled estimates are employed to develop a decentralized fusion structure; temporal and spatial alignment is also supported.<<ETX>>\",\"PeriodicalId\":133630,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.1994.398415\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.1994.398415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

采用特征级描述机器人环境，详细讨论了融合什么和如何融合两个重要问题。前者被称为配准(或对应)问题，后者被称为融合问题。配准过程通过一个全面的两阶段过程来解决，第一阶段提供了局部传感器解释的发展，然后在传感器之间进行配准并融合以构建全局解释。为了进行实际的融合，采用信息尺度估计来开发分散的融合结构;还支持时间和空间对齐

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A feature-level approach to multi-sensor integration; emphasizing robotic applications

Employing a feature level description of the robotic environment the two important issues of what to fuse and how to fuse are developed in detail. The former is known as the registration (or correspondence) problem, and the latter the fusion problem. The registration procedure is addressed by a comprehensive two stage process, The first stage affords the development of local sensor interpretations which are then registered between sensors and fused to construct a global interpretation. To perform the actual fusion, information-scaled estimates are employed to develop a decentralized fusion structure; temporal and spatial alignment is also supported.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems

自引率

0.00%

发文量