V. Santos, Luís B. P. Nascimento, D. Pereira, Daniel H. S. Fernandes, P. Alsina, Adelardo A. D. Medeiros, M. V. Araújo, Raquel E. Patiño-Escarcina, Dennis Barrios Aranibar
{"title":"Detecção e modelagem de rampas para órteses ativas usando uma câmera RGB-D","authors":"V. Santos, Luís B. P. Nascimento, D. Pereira, Daniel H. S. Fernandes, P. Alsina, Adelardo A. D. Medeiros, M. V. Araújo, Raquel E. Patiño-Escarcina, Dennis Barrios Aranibar","doi":"10.17648/sbai-2019-111358","DOIUrl":null,"url":null,"abstract":": This paper presents a ramp detection and modeling algorithm applied in a active orthosis. This method uses depth sensing capacities of the RGB-D cameras to segment different detected planes that integrate the scene and then performs a classification that compares the slope and width of the detected planes with acessibility especifications shown in technical standards. Simulations were made using four different ramps and it proves that the system is able to appropriately classify these structures. Resumo de inclina¸c˜ao e largura distintas. Foi poss´ıvel constatar que a estrat´egia empregada foi capaz de classificar os objetos adequadamente.","PeriodicalId":130927,"journal":{"name":"Anais do 14º Simpósio Brasileiro de Automação Inteligente","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do 14º Simpósio Brasileiro de Automação Inteligente","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17648/sbai-2019-111358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
: This paper presents a ramp detection and modeling algorithm applied in a active orthosis. This method uses depth sensing capacities of the RGB-D cameras to segment different detected planes that integrate the scene and then performs a classification that compares the slope and width of the detected planes with acessibility especifications shown in technical standards. Simulations were made using four different ramps and it proves that the system is able to appropriately classify these structures. Resumo de inclina¸c˜ao e largura distintas. Foi poss´ıvel constatar que a estrat´egia empregada foi capaz de classificar os objetos adequadamente.
本文提出了一种应用于主动矫形器的斜面检测与建模算法。该方法利用RGB-D相机的深度感知能力,对整合场景的不同检测平面进行分割,然后进行分类,将检测平面的坡度和宽度与技术标准中显示的可达性规格进行比较。用四种不同的坡道进行了仿真,证明了该系统能够对这些结构进行适当的分类。resume de倾向于resume,意思是“简历”。Foi拥有' ıvel constatar que a estrat ' epregada ' i capaz de classar objects充分完善。