dr_hsh's repositories
CVTNet
[TII 2023] A Cross-View Transformer Network for LiDAR-Based Place Recognition in Autonomous Driving Environments.
SeqOT-open
[TIE 2022] SeqOT: A Spatial-Temporal Transformer Network for Place Recognition Using Sequential LiDAR Data.
OverlapNet-open
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
nuscenes-devkit
The devkit of the nuScenes dataset.
IROS2021-SLAM-paper-list
IROS 2021 SLAM paper list
visp
Open Source Visual Servoing Platform
SUSTechPOINTS
3D Point Cloud Annotation Platform for Autonomous Driving
image-matching-toolbox
This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
RPMNet
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
r2live
R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.
cvxpnpl
A Perspective-n-Points-and-Lines method.
SE-Sync
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
jsoncpp
A C++ library for interacting with JSON.
colmap
COLMAP - Structure-from-Motion and Multi-View Stereo
DenseFusion
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
FCGF
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
zhou-accv-2018
A Python 3 implementation of "A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences." by Zhou et al. ACCV 2018
cpp2020_cubic_spline_library
c++ cubic spline library
SC-LeGO-LOAM
LiDAR SLAM: Scan Context + LeGO-LOAM
fork-Image-Registration
Image registration algorithm. Includes SIFT, SAR-SIFT,PSO-SIFT.
kitti2bag
Convert KITTI dataset to ROS bag file the easy way!
antons_opengl_tutorials_book
Anton's OpenGL 4 Tutorials book - Demo Code
InertialDemoECEF
Inertial navigation demonstration in ECEF-frame.
Principles-of-GNSS-Inertial-and-Multisensor-Integrated-Navigation-Systems
MATLAB simulation software for the book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, 2nd edition.