yuhuang-ca Goto Github PK
Name: Yu Huang
Type: User
Company: Guardstrike
Bio: Engineer/Scientist in Autonomous Driving/Computer Vision/Machine Learning/Computer Photography
Name: Yu Huang
Type: User
Company: Guardstrike
Bio: Engineer/Scientist in Autonomous Driving/Computer Vision/Machine Learning/Computer Photography
Code release for 360monodepth. With our framework we achieve monocular depth estimation for high resolution 360° images based on aligning and blending perspective depth maps.
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
3D detection prediction in Autopilot scene with monocular RGB image. Selected Faster RCNN as basemodel and ResNet as backbone with Python.
KITTI data processing and 3D CNN for Vehicle Detection
This is a synthetic dataset constructed to stimulate the development and evaluation of 3D lane detection methods.
Tools to work along side with LOAM 3D lidar slam and Octomaping
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
An open autonomous driving platform
Official GitHub repository for Argoverse dataset
Baseline tracker code release for the paper Argoverse: 3D Tracking and Forecasting With Rich Maps, CVPR 2019.
2018 GSoC Project with MRPT
A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes
Open-source software for self-driving vehicles
Code for 3D object detection for autonomous driving
A basic implementation(not official code) of AVP-SLAM(IROS 2020) in simulation. https://arxiv.org/abs/2007.01813
Open source simulator for self-driving vehicles
Official code for BEVDepth.
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
The code for Bi-directional Trajectory Prediction (BiTraP).
Add bisenetv2. My implementation of BiSeNet
Autonomous driving vehicles have drawn a great deal of interests from both academia (e.g. Oxford, MIT) and industry (e.g. Google, Tesla). However, we find that it is very difficult to directly achieve fully autonomous driving (SAE Level 5) due to generalised knowledge. To deal with the problem, deep imitation learning is a promising solution which learns knowledge from the demonstration of human. In this project, we worked on how to use deep imitation learning to achieve vehicle dynamic control (e.g. steering angle, speed). We used a dataset and simulator provided by Udacity (https://github.com/udacity/self-driving-car-sim) and the real-world comma.ai dataset.
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
Caffe: a fast open framework for deep learning.
Extrinsic Calibration of a Camera and 2d Laser
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.