Edoardo Fioriti
Analysis of 3D perception based on depth sensors in order to perform 3D scene understanding.
Rel. Nicola Amati, Andrea Tonoli, Stefano Feraco, Massimiliano Curti. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2021
Abstract
In collaboration with the Teoresi group company and Politecnico di Torino, the issues of 3D scene understanding were explored to perform an analysis of 3D perception features with the help of depth sensors. We started to study the already featured libraries regarding the use of depth sensors for real-world 3D learning. Otherwise, if these are not useful for our purpose, alternative solutions should be studied. We started studying the main libraries that already work with three-dimensional environments: Tensorflow 3D, Open3D, Mediapipe and Yolo. Initially, the various libraries were all tested with the Intel Realsense D435 depth camera directly connected to the machine.
Once we understood how it works, a Raspberry Pi 3 board has been implemented to test the camera and the algorithm in real-time
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