Discover @JunshengFu Open Source projects

Junsheng Fu (@JunshengFu)

JunshengFu

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Registered over 8 years ago
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Python
38.9 %

C++
33.3 %

Jupyter Notebook
16.7 %

MATLAB
5.6 %

HTML
5.6 %
Location 🇸🇪 Sweden
Country Total Rank 186
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C++
21

MATLAB
34

Python
35

Jupyter Notebook
80

HTML
1,282

tracking-with-Extended-Kalman-Filter

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

vehicle-detection

Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

driving-lane-departure-warning

Built a real-time lane departure warning system with a monocular camera, using OpenCV.

tracking-with-Unscented-Kalman-Filter

Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.

Model-Predictive-Control

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.

semantic_segmentation

Semantically segment the road in the given image.

traffic-light-detector

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

PID-controller

Use a PID controller to control the steering angle and throttle for driving a car in a car game simulator.

camera-pose-estimation

Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.

path_planning

Implement a simple real-time path planner in C++ to navigate a car around a simulated highway scenario

kidnapped-vehicle

Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.

traffic-light-classifier

A simple network to classifier the states of the traffic lights.

DrivingLaneDetection

Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.

Jupyter Notebook

driving-behavioral-cloning

Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.

traffic-sign-recognition

Built and trained a deep neural network to classify traffic signs, using TensorFlow.

Jupyter Notebook

ResNet_MobileNet_InceptionV3

An example to run ResNet, MobileNet and InceptionV3 with Keras and Imagenet weights

rental-bike

Predict the number of rental bikes should be placed based on the environmental conditions.

Jupyter Notebook

calculator

C++ based Calculation Engines which can do multiplication and division with numbers, and it is implemented with template and factory method.