Unlocking the Potential of Autonomous Vehicles: Using Technology to Create Memories for Self-Driving Cars

Self-driving vehicles can learn from their memories using technology
Artificial intelligence allows an autonomous vehicle to navigate through city streets, and in other environments with less traffic. It can do this by recognizing pedestrians and other vehicles as well as potential obstacles. Artificial neural networks are used to train the artificial neural network to \”see\” its surroundings and mimic the human visual perception system.

Cars using artificial neural network have no memory and see the world as if it were the first time. This is true, regardless of how many times the car has driven a certain road. This can be a problem in bad weather, when cars cannot rely on their sensors.

Researchers from Cornell Ann S. Bowers College of Computing and Information Science and College of Engineering produced three research papers simultaneously with the goal of eliminating this limitation by giving the car the ability to \”memorize\” previous experiences and then use them for future navigation.