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A resource repository for 3D machine learning
3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)
Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from Point Clouds (Pattern Recognition 2022)
A best practice for deep learning project template architecture.
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
terrific
A Road Area Detection Using Local Boundary Mask-based Deep Neural Network
激光雷达障碍物检测和聚类,参考论文: Efficient Online Segmentation for Sparse 3D Laser Scans ; 其中包含地面分割代码 ransac;
A simple way to convert KITTI LiDAR data to rosbag.
Python and C++ examples that show shows how to process 3-D Lidar data by segmenting the ground plane and finding obstacles.
Lidar Obstacle Detection
An speed and accuracy tradeoff method for LiDAR-based road boundary detection method in structured environments
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection
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.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Patchwork++: Fast and robust ground segmentation method for 3D point cloud. @ IROS'22
pcl learning notes
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
This algorithm is based on Velodye HDL 64E
**大学MOOC《机器人操作系统入门》课程代码示例
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
PointPillars for KITTI object detection
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
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.