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1. CarND-Extended-Kalman-Filter-P5 CarND-Extended-Kalman-Filter-P5 Public

   Implement Extended Kalman filter in C++ , that merges noisy simulated radar and lidar data to track a vehicle.

   C++ 1

2. CarND-LaneLines-P1 CarND-LaneLines-P1 Public

   Find lane lines on the road using color spaces , edge detection and hough transfrom.

   Jupyter Notebook

3. CarND-Advanced-Lane-Lines-P2 CarND-Advanced-Lane-Lines-P2 Public

   Track lane lines on the road under a variety of challenging conditions using advanced computer vision techniques such as bird's-eye view , sliding window and tracking.

   Jupyter Notebook

4. CarND-Traffic-Sign-Classifier-P3 CarND-Traffic-Sign-Classifier-P3 Public

   Train a convolutional neural network to classify traffic signs using the German Traffic Sign Recognition Benchmark dataset.

   HTML

5. CarND-Behavioral-Cloning-P4 CarND-Behavioral-Cloning-P4 Public

   Record training data by manually driving a car around a track in a simulator then use these camera images and steering angles to train an end-to-end CNN for driving the vehicle.

   Python

6. CarND-Kidnapped-Vehicle-P6 CarND-Kidnapped-Vehicle-P6 Public

   Build a particle filter in c++ to localize a vehicle in a map given that map and some initial localization information , observation and control data.

   C++