{"title":"Direct semi-dense SLAM for rolling shutter cameras","authors":"Jae-Hak Kim, César Cadena, I. Reid","doi":"10.1109/ICRA.2016.7487263","DOIUrl":null,"url":null,"abstract":"In this paper, we present a monocular Direct and Semi-dense SLAM (Simultaneous Localization And Mapping) system for rolling shutter cameras. In a rolling shutter camera, the pose is different for each row of each image, and this yields poor pose estimates and poor structure estimates when using a state-of-the-art semi-dense direct method designed for global shutter cameras. To address this issue in tracking, we model the smooth and continuous camera trajectory using a B-spline curve of degree k??1 for poses in the Lie algebra, se(3).We solve for the camera poses at each row-time by a direct optimisation of photometric error as a function of the control points of the spline. Likewise for mapping, we develop generalised epipolar geometry for the rolling shutter case and solve for point depths using photometric error. Although each of these issues has been previously tackled, to the best of our knowledge ours is the first full solution to monocular, direct (feature-less) SLAM. We benchmark our method for pose accuracy and map accuracy against the state-of-the-art semi-dense SLAM system, LSD-SLAM, demonstrating the improved efficacy of our approach when using rolling shutter cameras via synthetic sequences with known ground-truth and real sequences.","PeriodicalId":200117,"journal":{"name":"2016 IEEE International Conference on Robotics and Automation (ICRA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"44","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Robotics and Automation (ICRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRA.2016.7487263","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 44
Abstract
In this paper, we present a monocular Direct and Semi-dense SLAM (Simultaneous Localization And Mapping) system for rolling shutter cameras. In a rolling shutter camera, the pose is different for each row of each image, and this yields poor pose estimates and poor structure estimates when using a state-of-the-art semi-dense direct method designed for global shutter cameras. To address this issue in tracking, we model the smooth and continuous camera trajectory using a B-spline curve of degree k??1 for poses in the Lie algebra, se(3).We solve for the camera poses at each row-time by a direct optimisation of photometric error as a function of the control points of the spline. Likewise for mapping, we develop generalised epipolar geometry for the rolling shutter case and solve for point depths using photometric error. Although each of these issues has been previously tackled, to the best of our knowledge ours is the first full solution to monocular, direct (feature-less) SLAM. We benchmark our method for pose accuracy and map accuracy against the state-of-the-art semi-dense SLAM system, LSD-SLAM, demonstrating the improved efficacy of our approach when using rolling shutter cameras via synthetic sequences with known ground-truth and real sequences.
在本文中,我们提出了一种用于卷帘式相机的单目直接和半密集SLAM (Simultaneous Localization and Mapping)系统。在卷帘式快门相机中,每张图像的每一行的姿态都是不同的,当使用为全局快门相机设计的最先进的半密集直接方法时,这会产生较差的姿态估计和较差的结构估计。为了解决跟踪中的这个问题,我们使用k??度的b样条曲线对光滑和连续的相机轨迹进行建模。1表示李代数中的位姿,即se(3)。我们通过直接优化光度误差作为样条控制点的函数来求解相机在每一行时间的姿态。同样,对于映射,我们为卷帘门的情况开发了广义的极几何,并使用光度误差求解点深度。虽然这些问题以前都已经解决了,但据我们所知,我们的是第一个完整的单目、直接(无特征)SLAM解决方案。我们将我们的方法与最先进的半密集SLAM系统LSD-SLAM进行了姿态精度和地图精度的基准测试,证明了我们的方法在使用卷帘门相机通过已知的真实序列和真实序列合成序列时的有效性。