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

    Python 532 233

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

    C++ 566 243

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

    Python 186 98

  4. Semantically segment the road in the given image.

    Python 96 38

  5. 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++ 101 45

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

    C++ 128 42

6 contributions in the last year

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Contribution activity

December 2022

JunshengFu has no activity yet for this period.

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