ALVINN

ALVINN, short for Autonomous Land Vehicle in a Neural Network, is an early artificial intelligence system developed in the late 1980s aimed at enabling self-driving cars. It utilizes a neural network to learn and replicate the driving behaviors of a human operator. By processing video input from a camera mounted on the vehicle, ALVINN can steer and navigate through various environments by understanding road conditions and obstacles. This pioneering work laid foundational ideas for modern autonomous vehicle technology, showcasing how machines can learn from experience to perform complex tasks independently.