A computer-implemented method for predicting multiple future trajectories of moving objects of interest in the environment of a monitoring device comprising a memory augmented neural network (MANN) comprising at least one trained encoder deep neural network, one trained decoder deep neural network and a key-value database storing keys corresponding to past trajectory encodings and associated values corresponding to associated future trajectory encodings.
COMPUTER-IMPLEMENTED METHOD FOR PREDICTING MULTIPLE FUTURE TRAJECTORIES OF MOVING OBJECTS / Francesco Marchetti;Federico Becattini;Lorenzo Seidenari; Alberto Del Bimbo. - (2020).
COMPUTER-IMPLEMENTED METHOD FOR PREDICTING MULTIPLE FUTURE TRAJECTORIES OF MOVING OBJECTS
Francesco Marchetti;Federico Becattini;Lorenzo Seidenari
;Alberto Del Bimbo
2020
Abstract
A computer-implemented method for predicting multiple future trajectories of moving objects of interest in the environment of a monitoring device comprising a memory augmented neural network (MANN) comprising at least one trained encoder deep neural network, one trained decoder deep neural network and a key-value database storing keys corresponding to past trajectory encodings and associated values corresponding to associated future trajectory encodings.
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BBS144113EP Letters Patent.pdf
accesso aperto
Descrizione: Lettera concessione brevetto
Tipologia:
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2.38 MB | Adobe PDF |
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