AI Agent Skills

ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.

A Python package for delineating nested surface depressions from digital elevation data.

A MapLibre plugin for visualizing LiDAR Point Cloud

MOLA LiDAR odometry and localization

Official ROS drivers for Ouster sensors (OS0, OS1, OS2, OSDome)

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

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

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

An open framework to simulate and deploy perception-based PX4/ArduPilot drone swarms with ROS2, YOLO, LiDAR, NVIDIA Jetson

[RA-L 2024] GRIL-Calib: Targetless Ground Robot IMU-LiDAR Extrinsic Calibration Method using Ground Plane Motion Constraints

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

A LiDAR SLAM system that just works

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

DLL: Direct Lidar Localization

[T-ASE 25] SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud

Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.