KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference
KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference explores KISS-IMU provides a self-supervised inertial odometry framework that leverages LiDAR-based ICP registration for training, enabling robust pose estimation for robotic systems.. Commercial viability score: 7/10 in Robotics.
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