| KEYWORD |
Development of a Proprietary AI Model for Road Element Detection: A Comparative Study with YOLO
Thesis in external company
keywords MACHINE LEARNING
Reference persons ROBERTO GARELLO
External reference persons Eng. Giovanni Vecchione (gvecchione@lokisrl.eu)
Description This thesis, to be conducted over a six-month period at Politecnico di Torino in cooperation with LOKI s.r.l. (https://www.lokisrl.eu), focuses on the development and evaluation of a proprietary Artificial Intelligence (AI) model for the detection of various road elements such as potholes, road signs etc. The project aims to advance beyond the current capabilities of a YOLO (You Only Look Once) framework. The goal is to create a model with state of the art performance offering improved performance in terms of accuracy, efficiency, and adaptability in diverse road conditions.
See also thesis_loki.pdf
Deadline 15/03/2025
PROPONI LA TUA CANDIDATURA