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Github Hkust Aerial Robotics Vins Fusion An Optimization Based Multi Sensor Sta

6:27 GVINS: Tightly coupled GNSS-visual-inertial fusion for smooth and consistent state estimation   GVINS: Tightly coupled GNSS-visual-inertial fusion for smooth and consistent state estimation 2:29 A general optimization-based framework for global pose estimation   A general optimization-based framework for global pose estimation 2:17 A general optimization-based framework for local odometry estimation   A general optimization-based framework for local odometry estimation 3:35 VINSFusion algorithm testing with stereo camera ros bag.   VINSFusion algorithm testing with stereo camera ros bag. 3:19 [Open Source] VINS-Mobile: Monocular Visual-Inertial state estimation compared with Google Tango   [Open Source] VINS-Mobile: Monocular Visual-Inertial state estimation compared with Google Tango 3:40 VINS-Fusion (Stereo+IMU) on EuRoC MAV Dataset   VINS-Fusion (Stereo+IMU) on EuRoC MAV Dataset 1:34 AR Demo Under Kidnap: VINS-Fusion+Cerebro   AR Demo Under Kidnap: VINS-Fusion+Cerebro 4:47 Autonomous Aerial Navigation Using Monocular Visual-Inertial Fusion   Autonomous Aerial Navigation Using Monocular Visual-Inertial Fusion 3:41 VINS-Mobile: Monocular Visual-Inertial State Estimator on Mobile Phones   VINS-Mobile: Monocular Visual-Inertial State Estimator on Mobile Phones 5:06 S-MSCKF vs VINS-Fusion(Stereo) on FlightGoggles simulator from MIT   S-MSCKF vs VINS-Fusion(Stereo) on FlightGoggles simulator from MIT 5:00 Event-based Stereo Visual Odometry (HKUST & TU Berlin)   Event-based Stereo Visual Odometry (HKUST & TU Berlin)

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