Perception data fusion for autonomous systems and applications

This invention describes a way for machines, like self-driving cars, to understand their surroundings better by combining different types of information. It uses artificial intelligence (specifically neural networks) to quickly identify where objects are right now, and then blends that with traditional sensor data that tracks other object characteristics over time. The goal is to create a more complete and updated picture of the environment, even predicting what might be hidden behind obstacles.