Juwon Kim's Projects
3D Multi-Robot Exploration, Patrolling and Navigation.
An Invitation to 3D Vision: A Tutorial for Everyone
Personal schematic symbol and footprint libraries for Altium Designer.
A localization system based on Block Maps (BMs) to reduce the computational load caused by maintaining large-scale maps
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
cuDNN sample codes provided by Nvidia
LiDAR Inertial Mapping Package
A modified version of FAST-LIO2 that can generate RGB point cloud maps
A LiDAR-Inertial localization package based on FAST-LIO2, operating with a known prior map. This Repo has guidelines added to construct PG maps using pipelines of LT-Mapper
A simple localization framework that can re-localize in built maps based on FAST-LIO. This fork works with ROS Noetic (and Python3)
Front_end : fastlio2 Back_end : lio_sam (edited CMakeList.txt to detect GeographicLibs)
Unofficial ROS2 (working on ROS1 too) SDK support for Unitree GO2 AIR/PRO/EDU
EKF IMU Fusion Algorithms
ROS2 runtime libraries, nodes and launchers for the Kobuki
Codes for Paper <LC2: LiDAR-Camera Loop Constraints From Cross-Modal Place Recognition>.
This repo is an implementation version of Liorf(LIO-SAM modification) and DiSCO-SLAM in order to run a multi-Robot SLAM with better LIO-SAM performance
Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360. New version of Mid-360 seems to have different IP address. Modified some config to make it work
loam SLAM with back and forth tilted scanning 2D laser, modified to work under ROS indigo and catkin
A CNC controller interface that allows for browser based job dispatching and real-time direct communication with devices over serial, usb, http, telnet, or any other communication protocol.
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This fork has conversion of intensity to mono 8(Gray-scale) array for intensity based SLAM application
[IEEE T-RO 2023] A modularized multi-robot SLAM system with elevation mapping and a costmap converter for easy navigation. Different odometry and loop closure algorithms can be easily integrated into the system.
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