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Application US20190391587
Published 2019-12-26
Data Pipeline And Deep Learning System For Autonomous Driving
An image captured using a sensor on a vehicle is received and decomposed into a plurality of component images. Each component image of the plurality of component images is provided as a different input to a different layer of a plurality of layers of an artificial neural network to determine a result. The result of the artificial neural network is used to at least in part autonomously operate the vehicle.
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- 1. A method, comprising:
receiving an image captured using a sensor on a vehicle; decomposing the received image into a plurality of component images; providing each component image of the plurality of component images as a different input to a different layer of a plurality of layers of an artificial neural network to determine a result; and using the result of the artificial neural network to at least in part autonomously operate the vehicle.
- 19. A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
receiving an image captured using a sensor on a vehicle; decomposing the received image into a plurality of component images; providing each component image of the plurality of component images as a different input to a different layer of a plurality of layers of an artificial neural network to determine a result; and using the result of the artificial neural network to at least in part autonomously operate the vehicle.
- 20. A system, comprising:
a sensor on a vehicle; a vehicle control module; one or more image signal processors configured to:
receive an image captured using the sensor; and
decompose the received image into a plurality of component images;
an artificial intelligence processor; and a memory coupled with the artificial intelligence processor, wherein the memory is configured to provide the artificial intelligence processor with instructions which when executed cause the artificial intelligence processor to:
receive each component image of the plurality of component images as a different to input to a different layer of a plurality of layers of an artificial neural network to determine a result; and
provide the result of the artificial neural network to the vehicle control module to at least in part autonomously operate the vehicle.
