INSANE releases multiple MAV datasets with cross-environment trajectories, rich multi-IMU and camera suites, high-rate vibration data, and sub-centimeter RTK GNSS ground truth for localization research.
A least squares estimate of satellite attitude,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
KCKF is a computationally lighter variant of the standard CKF that uses expanded and simplified prediction equations to cut FLOPs and runtime by 15-19% while preserving attitude estimation accuracy in AHRS.
citing papers explorer
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INSANE: Cross-Domain UAV Data Sets with Increased Number of Sensors for developing Advanced and Novel Estimators
INSANE releases multiple MAV datasets with cross-environment trajectories, rich multi-IMU and camera suites, high-rate vibration data, and sub-centimeter RTK GNSS ground truth for localization research.
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A Lightweight Cubature Kalman Filter for Attitude and Heading Reference Systems Using Simplified Prediction Equations
KCKF is a computationally lighter variant of the standard CKF that uses expanded and simplified prediction equations to cut FLOPs and runtime by 15-19% while preserving attitude estimation accuracy in AHRS.