Visual Inertial Aided Navigation for High Dynamic Motion in Built Environments In this paper, we present a novel method to fuse observations from an inertial measurement unit (IMU) and visual sensors, such that initial conditions
OnManifold Preintegration for RealTime VisualInertial Odometry.pdf Abstract:Currentapproachesforvisual-inertialodometry (VIO)areabletoattainhighlyaccuratestateestimationvia nonlinearoptimization.However,real-timeopt
labvIEW账户管理系统 labview编写的用户管理程序,包括用户添加,更改用户,输入判断等-preparedlabviewusermanagementprocedures,includingaddingusers,changingusers,suchasinputtodetermine 需要labSQL的支持
VisualInertial Monocular SLAM with Map Reuse.pdf Abstract—Inrecentyearstherehavebeenexcellentresults inVisual-InertialOdometrytechniques,whichaimtocompute theincrementalmotionofthesensorwithhighacc