Shypd.aiThe largest open index of AI toolsself-driving-car is an open-source research and education tool that provides source code for Udacity's Self-Driving Car Engineer Nanodegree projects. It includes implementations for various self-driving car technologies.
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The self-driving-car repository offers a comprehensive collection of source code for projects from the Udacity Self-Driving Car Engineer Nanodegree. It covers a wide range of topics essential for developing autonomous vehicles, including basic and advanced lane finding using computer vision techniques like Hough Transforms and Canny edge detection, traffic sign classification with deep neural networks, and behavioral cloning for end-to-end driving in a simulator. The repository also features implementations of Kalman filters (Extended and Unscented) for object tracking, particle filters for localization, and PID/MPC controllers for vehicle steering. Additionally, it includes projects on path planning and road segmentation using fully-convolutional networks, making it a valuable resource for students and researchers in the field.
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