Showing 4 of 4 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.
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