AI Agent Skills

Deep Learning for Visual-Inertial Odometry

Tensorflow and PyTorch implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

A Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific Modelling

The first 6-DoF spline-based recursive motion esimator for LiDAR-based odometry

LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

HybVIO visual-inertial odometry and SLAM system

FLVIS: Feedback Loop Based Visual Inertial SLAM

Visual Inertial Odometry (VIO) / Simultaneous Localization & Mapping (SLAM) using iSAM2 framework from the GTSAM library.

Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Pl…

Efficient and accurate spinning FMCW 2D radar odometry in C++ / ROS.

MOLA LiDAR odometry and localization

Radar odometry code which removes motion distortion and Doppler effects from Navtech radar data.

Unsupervised radar odometry combining deep learning with classical state estimation

[ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

DynaVINS : A Visual-Inertial SLAM for Dynamic Environments

Robust Lidar Odometry System