A device may receive a first image. The device may process the first image to identify an object in the first image and a location of the object within the first image. The device may extract a second image from the first image based on the location of the object within the first image. The device may process the second image to determine at least one of a coarse-grained viewpoint estimate or a fine-grained viewpoint estimate associated with the object. The device may determine an object viewpoint associated with the second vehicle based on the at least one of the coarse-grained viewpoint estimate or the fine-grained viewpoint estimate. The device may perform one or more actions based on the object viewpoint.
Systems and Methods for Utilizing a Deep Learning Model to Determine Vehicle Viewpoint Estimations / Simone Magistri; Francesco Sambo; Douglas Coimbra de Andrade; Fabio Schoen; Matteo Simoncini; Luca Bravi; Stefano Caprasecca; Luca Kubin; Leonardo Taccari. - (2022).
Systems and Methods for Utilizing a Deep Learning Model to Determine Vehicle Viewpoint Estimations
Simone Magistri
;Fabio Schoen;
2022
Abstract
A device may receive a first image. The device may process the first image to identify an object in the first image and a location of the object within the first image. The device may extract a second image from the first image based on the location of the object within the first image. The device may process the second image to determine at least one of a coarse-grained viewpoint estimate or a fine-grained viewpoint estimate associated with the object. The device may determine an object viewpoint associated with the second vehicle based on the at least one of the coarse-grained viewpoint estimate or the fine-grained viewpoint estimate. The device may perform one or more actions based on the object viewpoint.| File | Dimensione | Formato | |
|---|---|---|---|
|
US11922651 (3).pdf
accesso aperto
Tipologia:
Pdf editoriale (Version of record)
Licenza:
Open Access
Dimensione
2.32 MB
Formato
Adobe PDF
|
2.32 MB | Adobe PDF |
I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



