Autonomous operation using deep spatio-temporal learning
AssigneeGM Global Technology Operations LLC
InventorsPraveen Palanisamy, Upali P. Mudalige
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Abstract
A system and method to perform autonomous operation of a vehicle include obtaining one or more image frames for a time instance t from corresponding one or more sensors. Processing the one or more image frames includes performing convolutional processing to obtain a multi-dimensional matrix xt. The method includes operating on the multi-dimensional matrix xt to obtain output ht. The operating includes using an output ht−1 of the operating for a previous time instance t−1. The method also includes post-processing the output ht to obtain one or more control signals to affect operation of the vehicle.
Claims20
A method of performing autonomous operation of a vehicle, the method comprising:
- obtaining one or more image frames for a time instance t from corresponding one or more sensors;
- processing the one or more image frames, the processing including performing convolutional processing to obtain a multi-dimensional matrix xt;
- operating on the multi-dimensional matrix xt to obtain output ht, wherein the operating includes using an output ht−1 of the operating for a previous time instance t−1;
- and
- post-processing the output ht to obtain one or more control signals to affect operation of the vehicle.
A system to perform autonomous operation of a vehicle, the system comprising:
- one or more sensors configured to obtain one or more image frames for a time instance t;
- a controller configured to process the one or more image frames including performing convolutional processing to obtain a multi-dimensional matrix xt, to operate on the multi-dimensional matrix xt to obtain output ht, wherein operating includes using an output ht−1 of the operating for a previous time instance t−1, and to post-process the output ht to obtain one or more control signals to affect operation of the vehicle.
Dependencies are inferred from the claim text.