Methods and systems for navigating autonomous and semi-autonomous vehicles
AssigneeEmergeX, LLC
InventorsRoy Feinson, Ari Mikhael Katz
Life of this patent
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Abstract
Methods and systems are disclosed for an improved control system in autonomous and semi-autonomous vehicles. More specifically, the methods and systems relate to powering control systems of autonomous and semi-autonomous vehicles through the use of computer vision based on delta images (i.e., delta-vision).
Claims21
A method of identifying objects while operating autonomous or semi-autonomous vehicles, the method comprising:
- receiving, using control circuitry, a first delta image of a first vehicular scenario;
- generating, using the control circuitry, a first pixel array based on the image of the first vehicular scenario;
- labeling, using the control circuitry, the first pixel array with a known object in the first vehicular scenario;
- training, using the control circuitry, an artificial neural network to detect the known object in the first vehicular scenario based on the labeled first pixel array;
- receiving, using the control circuitry, a second delta image of a second vehicular scenario;
- generating, using the control circuitry, a second pixel array based on the second delta image of the second vehicular scenario;
- inputting, using the control circuitry, the second pixel array into the trained neural network;
- and
- receiving, using the control circuitry, an output from the trained neural network indicating that the second vehicular scenario includes the known object.
A system for identifying objects while operating autonomous or semi-autonomous vehicles, the system comprising:
- memory configured to store an artificial neural network;
- and
- control circuitry configured to:
- receive a first delta image of a first vehicular scenario;
- generate a first pixel array based on the image of the first vehicular scenario;
- label the first pixel array with a known object in the first vehicular scenario;
- train artificial neural network to detect the known object in the first vehicular scenario based on the labeled first pixel array;
- receive a second delta image of a second vehicular scenario;
- generate a second pixel array based on the second delta image of the second vehicular scenario;
- input the second pixel array into the trained neural network;
- and
- receive an output from the trained neural network indicating that the second vehicular scenario includes the known object.
A method of identifying objects while operating autonomous or semi-autonomous vehicles, the method comprising:
- receiving, using control circuitry of an autonomous or semi-autonomous vehicle, a delta image of a vehicular scenario;
- generating, using the control circuitry, a pixel array based on the delta image;
- inputting, using the control circuitry, the pixel array into a neural network;
- receiving, using the control circuitry, an output from the neural network identifying an object in the pixel array;
- and
- initiating a control operation for the autonomous or semi-autonomous vehicle based on the object.
Dependencies are inferred from the claim text.