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Junzhuo Du (Junzhuodu)

Junzhuodu

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Company:Startup for Autonomous Driving

Location:San Diego

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Junzhuo Du's starred repositories

NeuralRecon

Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

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PythonRobotics

Python sample codes for robotics algorithms.

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icp

iterative closest point

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icp

A Python implementation of the Iterative Closest Point algorithm

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ml

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ParticleFilter

An implementation of the Particle Filter using C++ for the purposes of localization.

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ORB_SLAM

A Versatile and Accurate Monocular SLAM

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awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

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design-patterns

C++ Implementation for 23 Design Patterns

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object-oriented-design

面向对象设计的设计原则和设计模式

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massif-visualizer

Visualizer for Valgrind Massif data files

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cvxpy

A Python-embedded modeling language for convex optimization problems.

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frenet

Transform Frenet (s,d) to local Cartesian (x,y) coordinates.

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awesome-autonomous-vehicle

无人驾驶的资源列表中文版

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autoware

Autoware - the world's leading open-source software project for autonomous driving

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openpilot

openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

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SFND_Unscented_Kalman_Filter

Object tracking with unscented kalman filter

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opencv

Open Source Computer Vision Library

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ApproxMVBB

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

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pcl

Point Cloud Library (PCL)

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SLAM

Python files for SLAM course by Claus Brenner

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drake

Model-based design and verification for robotics.

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Learning-Deep-Learning

Paper reading notes on Deep Learning and Machine Learning

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Tutorials

Parallel programming tutorials

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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ekf-slam

extended kalman filter slam demo

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matplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

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Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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book

:books: All programming languages books

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OpenCV3-Intro-Book-Src

:blue_book:《OpenCV3编程入门》书本配套源码 |《Introduction to OpenCV3 Programming》Book Source Code

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