J. G. Velásquez-Aguilar, M. Granados-Contreras, A. Ramírez-Agundis, F. Aquino-Roblero
{"title":"Hybrid Object Detection Vision-Based Applied on Mobile Robot Navigation","authors":"J. G. Velásquez-Aguilar, M. Granados-Contreras, A. Ramírez-Agundis, F. Aquino-Roblero","doi":"10.1109/ICMEAE.2015.42","DOIUrl":null,"url":null,"abstract":"In this paper, an alternative to provide mobile robot with the ability-skill to detect and avoidance object in unknown environments is proposed. The robot can detect objects using infrared sensor to avoidance it with hybrid system through distance measurement and vision system. Low latency calculation allow for direct usage within control loops of mobile robot. The velocity of the robot is from 0.06 to 0.75 m/s. This imaging processing subsystem calculates features to matching and the robot position with 640×480 pixels resolution at 7 frames per second.","PeriodicalId":226698,"journal":{"name":"2015 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEAE.2015.42","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, an alternative to provide mobile robot with the ability-skill to detect and avoidance object in unknown environments is proposed. The robot can detect objects using infrared sensor to avoidance it with hybrid system through distance measurement and vision system. Low latency calculation allow for direct usage within control loops of mobile robot. The velocity of the robot is from 0.06 to 0.75 m/s. This imaging processing subsystem calculates features to matching and the robot position with 640×480 pixels resolution at 7 frames per second.