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Capturing and storing sequential spatial pose data for offline analysis and playback.
Distinct from Spatial Pose Management: Candidates focus on pose optimization or visualization, not the raw recording of pose data to files.
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Open_vins is a visual-inertial odometry framework and SLAM system designed for robotic state estimation. It uses an Extended Kalman Filter to fuse high-frequency inertial sensor data with visual feature tracks to estimate the position and orientation of a moving device. The system features a sensor calibration suite for calculating intrinsic and extrinsic parameters, as well as temporal offsets between cameras and inertial measurement units. It includes a manifold interpolator that uses B-Spline curves over the special Euclidean group to produce smooth trajectory paths between discrete pose e
Captures published pose data and writes it to text files for offline analysis and playback.