Gianluca Tortora
FPGA implementation of event-based optical flow for robotic applications.
Rel. Maurizio Martina, Guido Masera, Paolo Motto Ros. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2019
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Abstract
The speed with which technological evolution has reached increasingly extraordinary goals, in recent years, has now opened the doors to the possibility of develop more precise and refined devices with respect to the recent past. In this way, the research in the artificial intelligences field represents a fundamental joint for both possible future implications in the industrial development and in the health world. The purpose of this work is to build up a reconfigurable hardware solution, able to interface with modern vision sensors emulating the behaviour of the human retina. This final product, at the end of a close cooperation with the Istituto Italiano di Tecnologia (iit), is significantly useful to have a base-test for the optical flow computation.
This could represent, furthermore, an important source of informations from an AI perspective or for feasible biological involvements
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