junshengfu Goto Github PK
Name: Junsheng Fu
Type: User
Company: Zenseact
Bio: Technical Expert at Zenseact
Location: Gothenburg, Sweden
Blog: junshengfu.github.io
Name: Junsheng Fu
Type: User
Company: Zenseact
Bio: Technical Expert at Zenseact
Location: Gothenburg, Sweden
Blog: junshengfu.github.io
C++ based Calculation Engines which can do multiplication and division with numbers, and it is implemented with template and factory method.
Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
personal website (work in progress)
Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.
A webpage for magic garden VR game: https://junshengfu.github.io/MagicGarden/
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.
Implement a simple real-time path planner in C++ to navigate a car around a simulated highway scenario
Use a PID controller to control the steering angle and throttle for driving a car in a car game simulator.
Predict the number of rental bikes should be placed based on the environmental conditions.
An example to run ResNet, MobileNet and InceptionV3 with Keras and Imagenet weights
Semantically segment the road in the given image.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.
A simple network to classifier the states of the traffic lights.
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
Built and trained a deep neural network to classify traffic signs, using TensorFlow.
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
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.