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Ryan Nemiroff

2 accepted papers

2023

Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction

ICRA 2023poster

Aggressive motions from agile flights or traversing irregular terrain induce motion distortion in LiDAR scans that can degrade state estimation and mapping. Some methods exist to mitigate this effect, but they are still too simplistic or computationally costly for resource-constrained mobile robots.…

Cited by 111SourcecodeScholar
2023

Joint On-Manifold Gravity and Accelerometer Intrinsics Estimation for Inertially Aligned Mapping

IROS 2023poster

Aligning a robot's trajectory or map to the inertial frame is a critical capability that is often difficult to do accurately even though inertial measurement units (IMUs) can observe absolute roll and pitch with respect to gravity. Accelerometer biases and scale factor errors from the IMU's initial…

Cited by 5SourceScholar