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advanced-line-lane-detection

In this project, I have used computer vision techniques to identify lane boundaries and compute the lane metrics (radius of curvature, Offset to the center).

clone-human-driver-s-behavior-using-cnn

In this project, I have used Nvidia's CNN model to mimic human driver's behavior using a simulator.

extended-kalman-filter

project-finding-lane-lines-on-the-road

The first project in the Udacity Self-Driving Car Nanodegree is about implementing a pipeline that detects lane lines in images. While the pipeline is created for a single image, it can be applied to video footage by breaking the video down into frames, passing the frames through the pipeline, and then reconstructing the video.

traffic-sign-classifier

In this project, I have used a custuomized Lenet-5 convolutional neural network architecture to classify German traffic signs.