{"title":"基于半球面投影模型的四通道三维环视监测算法","authors":"Jung-Hwan Kim, Joonhong Lim","doi":"10.1142/S2301385019410024","DOIUrl":null,"url":null,"abstract":"Most current vehicle black boxes provide a bird’s-eye view of 2D type. This viewpoint has a limited viewing angle which makes it difficult to conduct an accident investigation, parking and awareness of space. To solve these problems, we propose the 3D Around View Monitoring (AVM) algorithm using image composition which combines planar and hemispherical projection method. The experimental results indicate that the proposed method overcome the 2D AVM disadvantages and may be useful for accurate accident investigation, autonomous driving system and other system.","PeriodicalId":164619,"journal":{"name":"Unmanned Syst.","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Four-Channel 3D Around View Monitoring Algorithm Using Hemispherical Projection Model\",\"authors\":\"Jung-Hwan Kim, Joonhong Lim\",\"doi\":\"10.1142/S2301385019410024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most current vehicle black boxes provide a bird’s-eye view of 2D type. This viewpoint has a limited viewing angle which makes it difficult to conduct an accident investigation, parking and awareness of space. To solve these problems, we propose the 3D Around View Monitoring (AVM) algorithm using image composition which combines planar and hemispherical projection method. The experimental results indicate that the proposed method overcome the 2D AVM disadvantages and may be useful for accurate accident investigation, autonomous driving system and other system.\",\"PeriodicalId\":164619,\"journal\":{\"name\":\"Unmanned Syst.\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Unmanned Syst.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S2301385019410024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Unmanned Syst.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2301385019410024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Four-Channel 3D Around View Monitoring Algorithm Using Hemispherical Projection Model
Most current vehicle black boxes provide a bird’s-eye view of 2D type. This viewpoint has a limited viewing angle which makes it difficult to conduct an accident investigation, parking and awareness of space. To solve these problems, we propose the 3D Around View Monitoring (AVM) algorithm using image composition which combines planar and hemispherical projection method. The experimental results indicate that the proposed method overcome the 2D AVM disadvantages and may be useful for accurate accident investigation, autonomous driving system and other system.
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