{"title":"A target tracking realization method of UAV simulation training system","authors":"Kai Song, Hong Xu, Yan Ding, Hao Li","doi":"10.1109/ICARCV.2016.7838616","DOIUrl":null,"url":null,"abstract":"In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target tracking steadily, the LOS(line of sight) tracking model utilizing the target pixel offset in the consecutive frame image and the velocity tracking model are established. Meanwhile, a digital integral algorithm is applied to reduce the errors of the tracking. The experimental results show that the method given in this paper can drive the virtual camera optical axis to keep the step of LOS and realize the target tracking efficiently.","PeriodicalId":128828,"journal":{"name":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCV.2016.7838616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, based on the virtual scene images generated by the Unity3D engine, a target tracking realization method in UAV(Unmanned Aerial Vehicle) simulation training system is proposed. To realize the target tracking steadily, the LOS(line of sight) tracking model utilizing the target pixel offset in the consecutive frame image and the velocity tracking model are established. Meanwhile, a digital integral algorithm is applied to reduce the errors of the tracking. The experimental results show that the method given in this paper can drive the virtual camera optical axis to keep the step of LOS and realize the target tracking efficiently.