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Royina Karegoudra Jayanth

2 accepted papers

2025

EqNIO: Subequivariant Neural Inertial Odometry

ICLR 2025poster

Neural network-based odometry using accelerometer and gyroscope readings from a single IMU can achieve robust, and low-drift localization capabilities, through the use of _neural displacement priors (NDPs)_. These priors learn to produce denoised displacement measurements but need to ignore data var…

2025

Neural Inertial Odometry from Lie Events

RSS 2025poster

Neural displacement priors (NDPs) can reduce the drift in inertial odometry and provide uncertainty estimates that can be readily fused with off-the-shelf filters. However, they fail to generalize to different IMU sampling rates and trajectory profiles, which limits their robustness in diverse setti…

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