⚡ The power of energy measurements in your house

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

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

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

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

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

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

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

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

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