Pinned Repositories
Astar-JPS-Algorithm
Implementation of A* and JPS algorithms in ROS
bicopter_simulation
cmake-for-all
거의 아무 때나 사용할 수 있는 CMake 템플릿
cpp_robotics
C++ sample codes for robotics algorithms.
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
fiducials
Simultaneous localization and mapping using fiducial markers.
gaussian-process-regression
Simple library with a basic no-frills implementation of GPR using Eigen. Basic support for multidimensional outputs.
Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
sensationHJ's Repositories
sensationHJ/bicopter_simulation
sensationHJ/Astar-JPS-Algorithm
Implementation of A* and JPS algorithms in ROS
sensationHJ/cmake-for-all
거의 아무 때나 사용할 수 있는 CMake 템플릿
sensationHJ/cpp_robotics
C++ sample codes for robotics algorithms.
sensationHJ/CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
sensationHJ/fiducials
Simultaneous localization and mapping using fiducial markers.
sensationHJ/gaussian-process-regression
Simple library with a basic no-frills implementation of GPR using Eigen. Basic support for multidimensional outputs.
sensationHJ/Kimera-VIO
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
sensationHJ/limbo
A lightweight framework for Gaussian processes and Bayesian optimization of black-box functions (C++-11)
sensationHJ/Motion_Planning
The project implements RRT* path finding and mini-snap algorithm to generate feasible trajectory for UAV.
sensationHJ/PX4-Autopilot
PX4 Autopilot Software
sensationHJ/Python-VO
A simple python implemented frame-by-frame visual odometry with SuperPoint feature detector and SuperGlue feature matcher.
sensationHJ/pytorch-superpoint
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
sensationHJ/rovio
sensationHJ/rpg_vision-based_slam
This repo contains the code of the paper "Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study", RA-L 2022.
sensationHJ/sparse-to-dense.pytorch
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)