Performing autonomous path navigation using deep neural networks
AssigneeNVIDIA Corporation
InventorsNikolai Smolyanskiy, Alexey Kamenev, Jeffrey David Smith, Stanley Thomas Birchfield
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Abstract
A method, computer readable medium, and system are disclosed for performing autonomous path navigation using deep neural networks. The method includes the steps of receiving image data at a deep neural network (DNN), determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data, and controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
Claims20
A method, comprising:
- receiving image data at a deep neural network (DNN);
- determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data;
- and
- controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
A system comprising:
- a processor that is configured to:
- receive image data at a deep neural network (DNN);
- determine, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data;
- and
- control a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
A computer-readable storage medium storing instructions that, when executed by a processor, causes the processor to perform steps comprising:
- receiving image data at a deep neural network (DNN);
- determining, by the DNN, both an orientation of a vehicle with respect to a path and a lateral position of the vehicle with respect to the path, utilizing the image data;
- and
- controlling a location of the vehicle, utilizing the orientation of the vehicle with respect to the path and the lateral position of the vehicle with respect to the path.
Dependencies are inferred from the claim text.