Methods and systems for navigating autonomous and semi-autonomous vehicles
AssigneeEmergeX, LLC
InventorsRoy Feinson, Ariel Katz
Life of this patent
Estimating the term…
Abstract
A system and method for forecasting perceived transitions to the four annual seasons in geographic areas is disclosed. The perceived transitions are identified by comparing forecasted daily temperatures in each geographic area to thresholds generated based on normal daily temperatures in those geographic areas. The forecasted daily temperatures may be calculated using both forecasted temperatures and forecasted perceived ambient temperatures (calculated using both temperature and humidity, cloud cover, sun intensity, and/or wind speed).
Claims18
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.
Dependencies are inferred from the claim text.