Ga-Ram Jang, Yong-Deuk Shin, Jae-Han Park, M. Baeg
{"title":"Real-time point-cloud data transmission for teleoperation using H.264/AVC","authors":"Ga-Ram Jang, Yong-Deuk Shin, Jae-Han Park, M. Baeg","doi":"10.1109/SSRR.2014.7017673","DOIUrl":null,"url":null,"abstract":"This paper presents an algorithm that offers real-time point-cloud transmission for teleoperation using H.264/AVC. Because the 3D-visualized point-cloud data provides metric information regarding the remote workplace, the teleoperator can observe the remote workplace from several viewpoints. The size of point-cloud data is a limitation when transmitting in poor and unstable network environments in real-time. Therefore, to perform robust teleoperation, it is necessary to compress point-cloud data at the remote location and transmit it in real-time. The feasibility of the proposed algorithm is verified by applying it in indoor and outdoor mapping with a 3G network system. Real-time teleoperation is effectively realized by applying the suggested algorithm.","PeriodicalId":267630,"journal":{"name":"2014 IEEE International Symposium on Safety, Security, and Rescue Robotics (2014)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Symposium on Safety, Security, and Rescue Robotics (2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSRR.2014.7017673","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This paper presents an algorithm that offers real-time point-cloud transmission for teleoperation using H.264/AVC. Because the 3D-visualized point-cloud data provides metric information regarding the remote workplace, the teleoperator can observe the remote workplace from several viewpoints. The size of point-cloud data is a limitation when transmitting in poor and unstable network environments in real-time. Therefore, to perform robust teleoperation, it is necessary to compress point-cloud data at the remote location and transmit it in real-time. The feasibility of the proposed algorithm is verified by applying it in indoor and outdoor mapping with a 3G network system. Real-time teleoperation is effectively realized by applying the suggested algorithm.