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Hongyuan Min

1 accepted papers

2025

AGCNet: Improving Inertial Odometry via IMU Accelerometer and Gyroscope Online Compensation

IROS 2025

This paper presents a learning-based online IMU compensation method (AGCNet) that can compensate for run-time errors of the accelerometer and gyroscope to improve inertial odometry. AGCNet employs U-Net architecture with hybrid dilated convolutions to extract multiscale features. It also adopts skip

Cited by 0SourceScholar