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A C++ library for linear algebra and geometry manipulation for computer graphics.
Software Development Kit for Max by Cycling '74
C++ library and programs that demonstrate mesh processing techniques in computer graphics published at ACM SIGGRAPH in 1992–1998
notes about machine learning
Multi-lane detection in urban driving environments using conditional random fields
Patterns and behaviors for GPU computing
Monocular multi-object tracking using simple and complementary 3D and 2D cues (ICRA 2018)
A c++ library which aims at massive point cloud data processing, involves smart pointer and smart array, mathematical structures and operations(vector, matrix, quaternion, transform etc), computational geometry(point, line, plane, polygon, rect, box, convex hull etc) indices (grid, kd-tree, octree, r-tree) and clusters (distance cluster, DBScan cluster, mean-shift cluster) etc.
MS-RRFSegNet: Multi-Scale Regional Relation Feature Segmentation Network for Semantic Segmentation of Urban Scene Point Clouds
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
graphic designer base on imgui
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
(BMVC'20 Oral) Neighbourhood-Insensitive Point Cloud Normal Estimation Network
Source code of the paper "A New Local Search-Based Multiobjective Optimization Algorithm"
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
This is the Final Project of the course Geospatial Vision and Visualization (Spring 20) at Illinois Tech, Chicago. The goal of the project is detecting the lane marking for a small LIDAR point cloud. We've built a system that is able to identify the lane marking by analyzing the intensity value within a point cloud.
Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.
Fast radius neighbor search with an Octree (ICRA 2015)
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.
OpenDrive Road C++ Class
Open solution to the Mapping Challenge :earth_americas:
Open3D: A Modern Library for 3D Data Processing
A parser for OpenDrive map files using Qt
parse the open drive file (.xml) with qt
OpenGR: A C++ library for 3D Global Registration
OpenRoadEd is a simple application designed to create both logical (OpenDRIVE standard) and geometrical (OpenSceneGraph) descriptions of road networks.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.