Pinned

1. vehicle-detection

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

   Python 482 221

2. 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.

   C++ 450 215

3. driving-lane-departure-warning

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

   Python 166 95

4. semantic_segmentation

   Semantically segment the road in the given image.

   Python 83 37

5. 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 co…

   C++ 73 34

6. 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.

   C++ 100 36