alihassanml/Self-Driving-Using-Deep-learning
This project implements a self-driving car system utilizing a Convolutional Neural Network (CNN) to predict steering angles based on input images from a front-facing camera. The system is designed to operate within the Udacity Self-Driving Car Simulator, enabling autonomous navigation in a simulated environment.
This project helps automotive engineers and AI researchers develop and test autonomous navigation systems. It takes live camera images from a simulated environment, processes them using a deep learning model, and outputs predicted steering angles and throttle controls to guide a virtual car. This is ideal for those working on self-driving car algorithms.
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Use this if you are developing or evaluating self-driving car algorithms and need a system to control a vehicle within the Udacity Self-Driving Car Simulator based on camera input.
Not ideal if you need to control a physical self-driving car or integrate with a different simulation environment.
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Jupyter Notebook
License
MIT
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Last pushed
Apr 12, 2025
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