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.
2022
Simone Magistri; Francesco Sambo; Douglas Coimbra de Andrade; Fabio Schoen; Matteo Simoncini; Luca Bravi; Stefano Caprasecca; Luca Kubin; Leonardo Tac...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1460572
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