Intelligent Autonomous Vehicle Driving Using Convolutional Neural Networks

This research study proposes a new concept of a selfdriving car simulation using JavaScript, following a structured course that guides the development through various stages. The simulation in corporate artificial sensors to provide the vehicle with environmental data, followed by the implementation of collision detection to ensure safety. Traffic simulation is the introduced, adding complexity to the driving scenario. The project integrates a neural network to enable autonomous decision-making and includes tools for visualizing and optimizing this network to improve performance. Finally, it explores finetuning the system and offers alive stream variant for realtime interaction. Overall, the project provides a comprehensive exploration of self- driving technology within a JavaScript framework, offering both theoretical insights and practical experience.