{"title":"全向反射视觉系统中基于神经网络的畸变图像定位","authors":"Tang Zhe, S. H. Lian, S. Zeng-qi","doi":"10.1109/ICONIP.2002.1198148","DOIUrl":null,"url":null,"abstract":"Omni-directional catadioptric vision system has been used increasingly in RoboCup(Robot World Cup) medium-sized league for localization. Omni-directional vision system can greatly increase the view range of robot. The main disadvantage of this vision system is the image distortion. This paper proposed an efficient method, using an Artificial Neural Network, to localize the robot in the field based on the distorted video image captured by mobile robot.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A neural network based localization from distorted image in omnidirectional catadioptric vision system\",\"authors\":\"Tang Zhe, S. H. Lian, S. Zeng-qi\",\"doi\":\"10.1109/ICONIP.2002.1198148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Omni-directional catadioptric vision system has been used increasingly in RoboCup(Robot World Cup) medium-sized league for localization. Omni-directional vision system can greatly increase the view range of robot. The main disadvantage of this vision system is the image distortion. This paper proposed an efficient method, using an Artificial Neural Network, to localize the robot in the field based on the distorted video image captured by mobile robot.\",\"PeriodicalId\":146553,\"journal\":{\"name\":\"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICONIP.2002.1198148\",\"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 the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.2002.1198148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A neural network based localization from distorted image in omnidirectional catadioptric vision system
Omni-directional catadioptric vision system has been used increasingly in RoboCup(Robot World Cup) medium-sized league for localization. Omni-directional vision system can greatly increase the view range of robot. The main disadvantage of this vision system is the image distortion. This paper proposed an efficient method, using an Artificial Neural Network, to localize the robot in the field based on the distorted video image captured by mobile robot.
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