jinqiang Goto Github PK
Type: User
Bio: Ph.D. SLAM UAV
jinqiang's Projects
ndt_omp
Multi-threaded and SSE friendly NDT algorithm
neor_mini
ROS-based Ackerman-like unmanned car implemented in Gazebo
nice-slam
[CVPR'22] NICE-SLAM: Neural Implicit Scalable Encoding for SLAM
nicp
Normal Iterative Closest Point (NICP) Algorithm C++ Library
nn-trees
Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.
numdetect
print house number detect
numdetection
Number detection using thresholding and template matching
open_vins
An open source platform for visual-inertial navigation research.
opencv-2-cookbook-src
《OpenCV 2 计算机视觉编程手册》 配套代码
opencv-tutorial
A sample project demonstrating use of OpenCV library in iOS platform
openmvs
open Multi-View Stereo reconstruction library
orb_slam
A Versatile and Accurate Monocular SLAM
orb_slam2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
overlap_localization
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
patrolling_sim
patrolling_sim for ROS
pcl
Point Cloud Library (PCL)
photoconsistency-visual-odometry
Multiscale Photoconsistency Visual Odometry from RGBD Images
point_cloud_tools_for_matlab
Various point cloud tools for Matlab
prometheus
Open source software for autonomous drones.
puma
Poisson Surface Reconstruction for LiDAR Odometry and Mapping
pyslam
pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.
python-100-days
Python - 100天从新手到大师
pythonrobotics
Python sample codes for robotics algorithms.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
qgroundcontrol
QGroundControl Ground Control Station
quadrotor_moveit_nav
This packages provide path planner for moving the quadrotor in 3D using ROS.
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.
r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
rbx1
ROS By Example Volume 1
recent_slam_research
Track Advancement of SLAM 跟踪SLAM前沿动态【周更】
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