Patent ID: 11869230
Assignee: RIMAC AUTOMOBILES LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method of forecasting the semantic output of at least one frame, the method comprising:
receiving a plurality of input frames from a camera up to a predetermined time;
processing via a down-sampling module of a neural network the plurality of input frames to receive a plurality of feature tensors;
determining spatio-temporal correlations between the plurality of feature tensors;
processing the plurality of feature tensors and the spatio-temporal correlations to receive at least one forecasted feature; and
processing via an up-sampling module of the neural network the at least one forecasted feature tensor to receive at least one forecasted semantic output for a time larger than the predetermined time;
wherein in the processing of the plurality of feature tensors and the spatio-temporal correlations to receive the at least one forecasted feature tensor, the at least one forecasted feature tensor is received by direct regression based on the plurality of feature tensors and the spatio-temporal correlations.