Multi-head machine learning model for processing multi-sensor data

This invention describes a system for self-driving cars to detect objects using a sophisticated computer model. This model has multiple specialized sections: one section processes data from a single sensor, like a camera, while another section combines information from two different sensors, such as a camera and a LiDAR scanner, to make its predictions. This allows the vehicle to form a more robust understanding of its environment by leveraging various types of sensor input.