Sensor extrinsic rectification for unified model deployment in autonomous systems and applications

A system comprising:

• one or more processors to execute operations comprising:
• receiving image data generated using a first camera having a first field of view, the first camera associated with a vehicle in an environment;
• receiving extrinsic camera data associated with the first camera;
• applying a transformation to the image data based at least on the extrinsic camera data to generate transformed image data, the transformation converting the first field of view to simulate a second field of view of a second camera associated with the vehicle in the environment;
• computing, using a machine learning model, output data representative of one or more predictions;
• and
• transmitting the output data to cause the vehicle to perform one or more operations based at least on the one or more predictions.

At least one processor comprising:

• one or more circuits to:
• receive image data generated using a camera having a first field of view in an environment, the camera being associated with a vehicle;
• apply a transformation to the image data to generate transformed image data, the transformation converting the first field of view to simulate a second field of view;
• compute, using a machine learning model, output data representative of one or more predictions;
• and
• transmit the output data to cause the vehicle to perform one or more operations based at least on the one or more predictions.