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Name: 박수웅
Type: User
Name: 박수웅
Type: User
Finding lane lines using sliding window search.
Final Term Project for Advanced Digital Signal Processing Course. Based on the paper "Full Resolution Image Compression with Recurrent Neural Networks" (CVPR 2017).
An open autonomous driving platform
A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)
The dataset associated with our ISMAR 2018 paper on Collaborative SLAM.
[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
[PyTorch] Official Implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
E2BOX IMU 9DOF V4 ros package
A cartesian coordinate system for the EEZYbotARM MK2 project that I use for my "Dave" project.
LiDAR SLAM = FAST-LIO + Scan Context
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
Transform Frenet (s,d) to local Cartesian (x,y) coordinates.
Graph Convolutional Networks for Text Classification.
Google Research
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Image Compression by Deep Learning approach (RNN GRU)
Ros node to use LaneNet to detect the lane in camera
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
[RAL] Keypoint Matching for Point Cloud Registration Using Multiplex Dynamic Graph Attention Networks
[RAL/IROS 2022] OverlapTransformer: An Efficient and Yaw-Angle-Invariant Transformer Network for LiDAR-Based Place Recognition.
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
파이썬 자료구조와 알고리즘 공부
Python sample codes for robotics algorithms.
PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
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.