Showing 7 of 7 projects
A clean, simplified implementation of the LOAM algorithm for real-time LiDAR odometry and mapping using Eigen and Ceres Solver.
Fast and optimized LiDAR odometry and mapping for real-time indoor/outdoor robot localization, achieving up to 3x speedup over prior methods.
A tightly coupled 3D LiDAR-inertial odometry and mapping system for real-time robot localization and mapping.
A ROS framework for sensor fusion using nonlinear least squares optimization, enabling state estimation, localization, mapping, and calibration on robots.
A ROS-based tool for manually calibrating extrinsic parameters between Livox LiDAR sensors and cameras using board corners.
A robust C++ sensor fusion library for online localization using factor graphs and least squares optimization.
A ROS-based tool for calibrating intrinsic and extrinsic parameters of multiple cameras using AprilTag targets.
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