hunkyu's repositories
3D-Machine-Learning
A learning resource repository for 3D machine learning
apollo
An open autonomous driving platform
awesome_3DReconstruction_list
A curated list of papers & ressources linked to 3D reconstruction from images.
but_velodyne
ROS packages for Velodyne 3D LIDARs provided by Robo@FIT group.
DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
eigen
The Art World in Your Pocket or Your Trendy Tech Company's Tote, Artsy's iOS app.
ElasticFusion
Real-time dense visual SLAM system
Kintinuous
Real-time large scale dense visual SLAM system
laser_slam
Previous work on 2D SLAM using SICK
maplab
An open visual-inertial mapping framework.
MV3D
Multi-View 3D Object Detection Network for Autonomous Driving
OpenDroneMap
OpenDroneMap is a tool to postprocess drone, balloon, kite, and street view data to geographic data including orthophotos, point clouds, & textured mesh. In the tradition of the Ship of Theseus, it was originally forked from qwesda/BundlerTools https://github.com/qwesda/BundlerTools.
ORB_SLAM2
ORB_SLAM2 with monocular reconstruction support using REMODE
os1
Doxygen para os1: OrbSlam2 comentado y modificado para pruebas de monocular slam.
py-R-FCN
R-FCN with joint training and python support
robust_point_cloud_registration
Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")
rpg_open_remode
This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.
skimap_ros
Ros implementation of Skimap
torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
VI-MEAN
Visual-Inertia-fusion-based Monocular dEnse mAppiNg
VINS-Mono
A Robust and Versatile Monocular Visual-Inertial State Estimator
volumetric_mapping
A repository for 3D volumetric (occupancy) maps, providing a generic interface for disparity map and pointcloud insertion, and support for custom sensor error models.