Robotics software engineer at MAP IV (TIER IV group), based in Japan.
I build open-source tools for LiDAR SLAM, localization, GNSS/IMU fusion, and performance-oriented robotics systems in C++, Rust, CUDA, and ROS 2.
- lidarslam_ros2 · 799 stars · ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
- lidar_localization_ros2 · 484 stars · 3D LiDAR localization with NDT/GICP and pointcloud maps in ROS 2.
- li_slam_ros2 · 416 stars · Tightly-coupled LiDAR inertial SLAM for ROS 2.
- kalman_filter_localization_ros2 · 342 stars · GNSS / IMU localization using Kalman filtering.
- rust_robotics · 184 stars · Robotics algorithms and reference implementations in Rust.
- gnssplusplus-library · 119 stars · Modern C++ GNSS / RTK / PPP / CLAS toolkit.
- dynamic-3d-object-removal · 29 stars · LiDAR dynamic object removal with public demos and a ROS 2 realtime node.
- localization_zoo · 12 stars · Recent localization baselines, derived variants, tests, and benchmarks.
- CloudAnalyzer · 7 stars · Active point-cloud analysis CLI with metrics, ICP, and GICP workflows.
- gnss_gpu · 3 stars · GPU-accelerated GNSS signal processing in CUDA + Python.
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lidarslam_ros2 799 stars ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
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lidar_localization_ros2 484 stars 3D LiDAR localization with NDT/GICP and pointcloud maps in ROS 2.
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li_slam_ros2 416 stars Tightly-coupled LiDAR inertial SLAM for ROS 2.
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kalman_filter_localization_ros2 342 stars GNSS / IMU localization using Kalman filtering.
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rust_robotics 184 stars Robotics algorithms and reference implementations in Rust. |
gnssplusplus-library 119 stars Modern C++ GNSS / RTK / PPP / CLAS toolkit.
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dynamic-3d-object-removal 29 stars LiDAR dynamic object removal with public demos and a ROS 2 realtime node.
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localization_zoo 12 stars Recent localization baselines, derived variants, tests, and benchmarks.
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CloudAnalyzer 7 stars Active point-cloud analysis CLI with metrics, ICP, and GICP workflows.
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gnss_gpu 3 stars GPU-accelerated GNSS signal processing in CUDA + Python.
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