Pinned Repositories
camera-pose-estimation
Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.
driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
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.
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.
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-detector
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
JunshengFu's Repositories
JunshengFu/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.
JunshengFu/vehicle-detection
Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
JunshengFu/driving-lane-departure-warning
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
JunshengFu/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.
JunshengFu/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.
JunshengFu/semantic_segmentation
Semantically segment the road in the given image.
JunshengFu/traffic-light-detector
Detect traffic lights and classify the state of them, then give the commands "go" or "stop".
JunshengFu/PID-controller
Use a PID controller to control the steering angle and throttle for driving a car in a car game simulator.
JunshengFu/camera-pose-estimation
Given a map data (image + lidar), estimate the 6 DoF camera pose of the query image.
JunshengFu/path_planning
Implement a simple real-time path planner in C++ to navigate a car around a simulated highway scenario
JunshengFu/kidnapped-vehicle
Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.
JunshengFu/traffic-light-classifier
A simple network to classifier the states of the traffic lights.
JunshengFu/DrivingLaneDetection
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
JunshengFu/driving-behavioral-cloning
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
JunshengFu/traffic-sign-recognition
Built and trained a deep neural network to classify traffic signs, using TensorFlow.
JunshengFu/calculator
C++ based Calculation Engines which can do multiplication and division with numbers, and it is implemented with template and factory method.
JunshengFu/rental-bike
Predict the number of rental bikes should be placed based on the environmental conditions.
JunshengFu/ResNet_MobileNet_InceptionV3
An example to run ResNet, MobileNet and InceptionV3 with Keras and Imagenet weights
JunshengFu/junshengfu.github.io
personal website (work in progress)
JunshengFu/MagicGarden
A webpage for magic garden VR game: https://junshengfu.github.io/MagicGarden/