T. Tsoy, Ramil Safin, Ramir Sultanov, S. Saha, E. Magid
{"title":"Recommended Criteria for Qualitative Comparison of Fiducial Markers Performance","authors":"T. Tsoy, Ramil Safin, Ramir Sultanov, S. Saha, E. Magid","doi":"10.1109/SIBCON56144.2022.10003018","DOIUrl":null,"url":null,"abstract":"Fiducial marker (FM) systems have a wide range of applications, such as augmented reality, human-robot interaction, medical surgery, robot navigation, and swarm robotics. Moreover, FMs enable to calibrate optical sensors, which is a crucial step in most computer vision algorithms. A variety of considerations should be taken into account to decide which FM system is suitable for a particular application. This paper proposes a list of recommended criteria that allow to compare FM systems. The criteria support a FM ranking according to their properties and enable users to choose a set of FMs best suited for a specific task. A number of the recommended criteria efficiency and performance were validated in the Gazebo simulation and in a real world environment using Servosila Engineer mobile robot.","PeriodicalId":265523,"journal":{"name":"2022 International Siberian Conference on Control and Communications (SIBCON)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Siberian Conference on Control and Communications (SIBCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON56144.2022.10003018","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
Fiducial marker (FM) systems have a wide range of applications, such as augmented reality, human-robot interaction, medical surgery, robot navigation, and swarm robotics. Moreover, FMs enable to calibrate optical sensors, which is a crucial step in most computer vision algorithms. A variety of considerations should be taken into account to decide which FM system is suitable for a particular application. This paper proposes a list of recommended criteria that allow to compare FM systems. The criteria support a FM ranking according to their properties and enable users to choose a set of FMs best suited for a specific task. A number of the recommended criteria efficiency and performance were validated in the Gazebo simulation and in a real world environment using Servosila Engineer mobile robot.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
