AI Agent Skills

Simultaneous Visual Odometry, Object Detection, and Instance Segmentation

RGBD-3DGS-SLAM is a monocular SLAM system leveraging 3D Gaussian Splatting (3DGS) for accurate point cloud and visual odometry estimation. By integrating neural networks…

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

Tightly-coupled Direct LiDAR-Inertial Odometry and Mapping Based on Cartographer3D.

[IROS 2025] A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics

GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)

📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)

A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

[RA-L 2024] In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time Trajectory

This package provides localization in a pre-built map using ICP and odometry (or the IMU measurements).

Implementation of Multi-State Constraint Kalman Filter (MSCKF) for Vision-aided Inertial Navigation. This is my master's thesis.

Efficient monocular visual odometry for ground vehicles on ARM processors

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated…