The Self-Driving Car from 1989 (It Actually Worked)

Decades before Elon Musk or Waymo, researchers at Carnegie Mellon were already teaching cars to drive themselves using something revolutionary: a Neural Network.
In this video, we revisit the history of ALVINN (Autonomous Land Vehicle In a Neural Network). Unlike other robots of the time that followed rigid, hand-coded rules, ALVINN used a 3-layer back-propagation model to learn how to steer. We explain how it took inputs from a video camera and laser range finder, trained on simulated roads, and adapted to changing lane widths and lighting conditions—all in the late 80s.
In this video you will discover:
• 🚐 What ALVINN was and why it was ahead of its time.
• 🧠 The 3-layer neural architecture that powered the vehicle.
• 🎥 How it used video and laser data to "see" the road.
• 🛣️ The difference between "hand-coded" rules and "data-driven" learning.
• 🤖 How it handled complex environments better than traditional robots.
Meet the grandfather of modern autonomous driving.
#AutonomousVehicles #ALVINN #NeuralNetworks #AIHistory #CarnegieMellon #MachineLearning #SelfDrivingCars #Robotics #RetroTech

Видео The Self-Driving Car from 1989 (It Actually Worked) канала Clear Tech