[go: up one dir, main page]

Skip to content
View JunshengFu's full-sized avatar

Block or report JunshengFu

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. vehicle-detection vehicle-detection Public

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

    Python 649 245

  2. tracking-with-Extended-Kalman-Filter tracking-with-Extended-Kalman-Filter Public

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

    C++ 748 260

  3. driving-lane-departure-warning driving-lane-departure-warning Public

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

    Python 222 104

  4. semantic_segmentation semantic_segmentation Public

    Semantically segment the road in the given image.

    Python 109 41

  5. Model-Predictive-Control Model-Predictive-Control Public

    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 co…

    C++ 167 56

  6. tracking-with-Unscented-Kalman-Filter tracking-with-Unscented-Kalman-Filter Public

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

    C++ 164 55