道路视觉导航的领域依赖推理

IEEE J. Robotics Autom. Pub Date : 1988-08-01 DOI:10.1109/56.807

J. L. Moigne

{"title":"道路视觉导航的领域依赖推理","authors":"J. L. Moigne","doi":"10.1109/56.807","DOIUrl":null,"url":null,"abstract":"A visual navigation system for autonomous land vehicles has been designed at the Computer Vision Laboratory of the University of Maryland. This system includes several modules, among them a 'knowledge-based reasoning module' that is described. This module utilizes domain-dependent knowledge (in this case, 'road knowledge') to analyze and label the visual features extracted from the imagery by the image processing module. Knowledge and general hypotheses are given. The reasoning module itself is described and results are presented. Some conclusions and future extensions are proposed. >","PeriodicalId":370047,"journal":{"name":"IEEE J. Robotics Autom.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Domain-dependent reasoning for visual navigation of roadways\",\"authors\":\"J. L. Moigne\",\"doi\":\"10.1109/56.807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A visual navigation system for autonomous land vehicles has been designed at the Computer Vision Laboratory of the University of Maryland. This system includes several modules, among them a 'knowledge-based reasoning module' that is described. This module utilizes domain-dependent knowledge (in this case, 'road knowledge') to analyze and label the visual features extracted from the imagery by the image processing module. Knowledge and general hypotheses are given. The reasoning module itself is described and results are presented. Some conclusions and future extensions are proposed. >\",\"PeriodicalId\":370047,\"journal\":{\"name\":\"IEEE J. Robotics Autom.\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE J. Robotics Autom.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/56.807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE J. Robotics Autom.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/56.807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 11

摘要

马里兰大学计算机视觉实验室设计了一种用于自动陆地车辆的视觉导航系统。该系统包括几个模块，其中描述了一个“基于知识的推理模块”。该模块利用领域相关知识(在本例中为“道路知识”)对图像处理模块从图像中提取的视觉特征进行分析和标记。给出了知识和一般假设。对推理模块本身进行了描述，并给出了结果。提出了一些结论和未来的扩展。>

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

微信好友朋友圈 QQ好友复制链接

本刊更多论文

Domain-dependent reasoning for visual navigation of roadways

A visual navigation system for autonomous land vehicles has been designed at the Computer Vision Laboratory of the University of Maryland. This system includes several modules, among them a 'knowledge-based reasoning module' that is described. This module utilizes domain-dependent knowledge (in this case, 'road knowledge') to analyze and label the visual features extracted from the imagery by the image processing module. Knowledge and general hypotheses are given. The reasoning module itself is described and results are presented. Some conclusions and future extensions are proposed. >

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

IEEE J. Robotics Autom.

自引率

0.00%

发文量