InguChoi

InguChoi's Stars

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.9k3086755.7k

• zhm-real/PathPlanning

  Common used path planning algorithms with animations.

  Language:Python8.1k99431.7k

• seungeunrho/minimalRL

  Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  Language:Python2.9k4940464

• openai/mujoco-py

  MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

  Language:Cython2.9k196645813

• MIT-SPARK/TEASER-plusplus

  A fast and robust point cloud registration library

  Language:C++1.8k47153345

• laboshinl/loam_velodyne

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

  Language:C++1.7k83139952

• SteveMacenski/slam_toolbox

  Slam Toolbox for lifelong mapping and localization in potentially massive maps with ROS

  Language:C++1.7k40361525

• jedeschaud/ct_icp

  CT-ICP: Continuous-Time LiDAR Odometry

  Language:C++7671675131

• HKUST-Aerial-Robotics/Stereo-RCNN

  Code for 'Stereo R-CNN based 3D Object Detection for Autonomous Driving' (CVPR 2019)

  Language:Python6922784177

• vectr-ucla/direct_lidar_inertial_odometry

  [IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.

  Language:C++6301461129

• GrumpyZhou/image-matching-toolbox

  This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

  Language:Jupyter Notebook541174880

• LimHyungTae/patchwork

  SOTA fast and robust ground segmentation using 3D point cloud (accepted in RA-L'21 w/ IROS'21)

  Language:C++489132375

• MIT-SPARK/Kimera-RPGO

  Robust Pose Graph Optimization

  Language:C++4752924133

• youmi-zym/GO-SLAM

  [ICCV2023] GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction

  Language:Python375114333

• url-kaist/Quatro

  Fast and robust global registration for terrestrial robots @ ICRA2022

  Language:C++3288444

• Taeyoung96/Awesome-LiDAR-IMU-calibration

  :sunglasses: A current list of LiDAR-IMU calibration method

  2605123

• KOKIAOKI/3d_bbs

  Language:C++20092530

• engcang/FAST-LIO-Localization-QN

  A Map-based localization implementation combining FAST-LIO2 as an odometry with Quatro + Nano-GICP as a map matching method

  Language:C++1604412

• url-kaist/Patchwork2

  Are you ready for fast and robust ground-segmentation for all terrain robots?

  1253227

• stonier/cost_map

  Costmaps, directly analogous to ethz-asl's grid_map library.

  Language:C++104141860

• CyberAgentAILab/pointcloud2gazebo

  pointcloud2gazebo is a package that allows you to create a Gazebo World from a 3D point cloud.

  Language:Python78316

• umdlife/psdk_ros2

  This repository is a ROS 2 wrapper for the DJI PSDK libraries.

  Language:C++7064721

• jkk-research/pointcloud_to_grid

  ROS 1 and ROS 2 node that converts sensor_msgs/PointCloud2 LIDAR data to nav_msgs/OccupancyGrid 2D map data based on intensity and / or height. 🤖

  Language:C++612210

• dudgnsrj/OSM-Descriptor-Localization

  Language:MATLAB59323

• MichalDobis/osm_planner

  Experimental ROS package for finding path on OpenStreetMap using dijkstra algorithm

  Language:C++485717

• engcang/exploration-algorithms

  [Docker provided] How to build, install and run open-source exploration algorithms

  Language:C++44028

• developer0hye/onepose

  Human pose estimation within one line

  Language:Python34131

• gisbi-kim/iros23-paper-title-and-abstracts

  parser pythonc code and sqlite db file

  Language:HTML1020

• cWonp/pcd2pgm

  convert 3D point cloud map (.pcd) to 3D occupancy grid map (.pgm)

  Language:C++811

• MIT-SPARK/PACE

  Index repo for the PACE project

  Language:Python7640