junshengfu Goto Github PK

followers: 584.0 following: 25.0 repos: 20.0 gists: 0.0

Name: Junsheng Fu

Type: User

Company: Zenseact

Bio: Technical Expert at Zenseact

Location: Gothenburg, Sweden

Blog: junshengfu.github.io

Junsheng Fu's Projects

calculator

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

camera-pose-estimation

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

driving-behavioral-cloning

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

driving-lane-departure-warning

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

drivinglanedetection

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

kidnapped-vehicle

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

magicgarden

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.

path_planning

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

pid-controller

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

rental-bike

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

resnet_mobilenet_inceptionv3

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

semantic_segmentation

Semantically segment the road in the given image.

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.

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.

traffic-light-classifier

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

traffic-light-detector

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

traffic-sign-recognition

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

vehicle-detection

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

junshengfu Goto Github PK

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