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Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
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…
Semantically segment the road in the given image.
138 contributions in the last year
in private repositories
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