{"title":"基于改进仿生神经网络的水下航行器三维实时路径规划","authors":"J. Ni, Liuying Wu, Shihao Wang, Kang Wang","doi":"10.1109/ICCE-TW.2016.7520935","DOIUrl":null,"url":null,"abstract":"An improved algorithm based on bio-inspired neural network is proposed for Autonomous Underwater Vehicle (AUV) real-time path planning in three-dimensional (3D) environment in this paper. The algorithm has made an improvement in the shunting equation of the neural network model which is conductive to path planning especially in dynamic environments. The proposed approach has high efficiency and good real-time performance.","PeriodicalId":6620,"journal":{"name":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","volume":"23 1","pages":"1-2"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"3D real-time path planning for AUV based on improved bio-inspired neural network\",\"authors\":\"J. Ni, Liuying Wu, Shihao Wang, Kang Wang\",\"doi\":\"10.1109/ICCE-TW.2016.7520935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An improved algorithm based on bio-inspired neural network is proposed for Autonomous Underwater Vehicle (AUV) real-time path planning in three-dimensional (3D) environment in this paper. The algorithm has made an improvement in the shunting equation of the neural network model which is conductive to path planning especially in dynamic environments. The proposed approach has high efficiency and good real-time performance.\",\"PeriodicalId\":6620,\"journal\":{\"name\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"volume\":\"23 1\",\"pages\":\"1-2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-TW.2016.7520935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-TW.2016.7520935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D real-time path planning for AUV based on improved bio-inspired neural network
An improved algorithm based on bio-inspired neural network is proposed for Autonomous Underwater Vehicle (AUV) real-time path planning in three-dimensional (3D) environment in this paper. The algorithm has made an improvement in the shunting equation of the neural network model which is conductive to path planning especially in dynamic environments. The proposed approach has high efficiency and good real-time performance.
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