{"title":"基于深度卷积神经网络的目标识别算法在移动机器人视觉导航中的应用","authors":"Z. Pershina, S. Y. Kazdorf, V. Abrosimov","doi":"10.23919/ICINS.2018.8405865","DOIUrl":null,"url":null,"abstract":"In this paper, we present the results of an analysis of state-of-the-art approaches in the field of object recognition in an image based on deep convolutional neural networks. The purpose of the review is to assess the possibility of applying these approaches in solving problems of visual navigation a mobile robot.","PeriodicalId":243907,"journal":{"name":"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application of algorithms for object recognition based on deep convolutional neural networks for visual navigation of a mobile robot\",\"authors\":\"Z. Pershina, S. Y. Kazdorf, V. Abrosimov\",\"doi\":\"10.23919/ICINS.2018.8405865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present the results of an analysis of state-of-the-art approaches in the field of object recognition in an image based on deep convolutional neural networks. The purpose of the review is to assess the possibility of applying these approaches in solving problems of visual navigation a mobile robot.\",\"PeriodicalId\":243907,\"journal\":{\"name\":\"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ICINS.2018.8405865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 25th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ICINS.2018.8405865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of algorithms for object recognition based on deep convolutional neural networks for visual navigation of a mobile robot
In this paper, we present the results of an analysis of state-of-the-art approaches in the field of object recognition in an image based on deep convolutional neural networks. The purpose of the review is to assess the possibility of applying these approaches in solving problems of visual navigation a mobile robot.