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cvtk

CVTK, a computer vision toolkit

data_tools

High performance data loading, preprocessing, or preparation for deep learning.

delaunator-cpp

A really fast C++ library for Delaunay triangulation of 2D points

delaunaymatch

Use delaunay triangle net to match same points for two image

demo_lidar

Depth Enhanced Monocular Odometry (camera and lidar version)

dr_eigen

drive_ros_localize_odom_fusion

Fuses odometry message from various sources

eagleye

Precise localization based on GNSS and IMU.

eviltransform

Transport coordinate between earth(WGS-84) and mars in china(GCJ-02).

extrinsic_lidar_camera_calibration

This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

fast-bow

ICIP 2018 Paper #3276: FAST-BOW: SCALING BAG-OF-VISUAL-WORDS GENERATION

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fastrobustoriest

flea3

ROS driver for flea3/grasshopper3 camera

flycapture

FlyCapture SDK

fusion_localization

fusion_localization

ga-matcher

Fast Geometry Aware Feature Matching for Structure from Motion Applications

gcnv2_slam

Real-time SLAM system with deep features

generalvisodom

geomapnet

Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

gpu_computing_in_robotics

gpusift

Parallel implementation of Scale Invariant Feature Transform (SIFT)

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

graphoptim

The official implementation of our CVPR 2021 paper - Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

hector_slam_ceres

Wen, Bowen, Sukru Yaren Gelbal, Bilin Aksun Guvenc, and Levent Guvenc. "Localization and Perception for Control and Decision-Making of a Low-Speed Autonomous Shuttle in a Campus Pilot Deployment." SAE International Journal of Connected and Automated Vehicles 1, no. 12-01-02-0003 (2018).

hesaff

Hessian Affine detector with SIFT descriptor, CMP implementation

hessgpu

HessGPU - Implementation of the Hessian interest points detector with the SIFT descriptor on GPU

hessianaffinematch_visualstudio2015

Two Views Image Affine Match

hgmm-pointclouds

Using Hierarchical Gaussian Mixture Models on Point Cloud Data for Registration, Localization & Meshing

hungarian-algorithm

(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.