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Name: Eddy Chu
Type: User
Location: San Jose, CA
Name: Eddy Chu
Type: User
Location: San Jose, CA
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras.
Implemented an Extended Kalman Filter algorithm in C++ capable of tracking a pedestrian's motion in two dimensions.
Implemented a 2 dimensional particle filter in C++ capable of localizing a vehicle within desired accuracy and time.
Detected highway lane lines on a video stream
Implemented Model Predictive Control to drive a vehicle around a track even with additional latency between commands.
Implemented a PID controller in C++ to maneuver a vehicle around a track.
Built and trained a deep neural network to classify traffic signs, using TensorFlow.
Implemented an Unscented Kalman Filter algorithm in C++ capable of accurately and performantly tracking a turning object.
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).
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