arXiv Computer Vision
Design and Implementation of a Kalman Filter-Infused Algorithm for Tilt Estimation
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Camera Calibration Using Inaccurate and Asynchronous Discrete GPS Trajectory from Drones
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Uncertainty-Aware Velocity Correction for Proprioceptive Vehicle Localization using Evidential Mamba
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Differential 6-DOF Pose Estimation with Provable First-Order Immunity to Camera Calibration Errors
Accurate six-degree-of-freedom (6-DOF) motion estimation is essential for robotic manipulation, autonomous systems, and structural displacement monitoring. Conventional 3D-2D methods estimate absolute camera poses independently at each time and recover platform motion through camera-to-platform extrinsics, making them sensitive to extrinsic calibration errors, especially for micromotion.
arXiv Machine Learning
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arXiv AI
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Rotation-Invariant Multi-IMU Activity Recognition under Independent Per-Location Orientation Shifts
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