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Article

Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods

Dipartimento di Informatica, Università degli studi di Bari Aldo Moro, 70125 Bari, Italy
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Sensors 2018, 18(12), 4147; https://doi.org/10.3390/s18124147
Received: 1 October 2018 / Revised: 14 November 2018 / Accepted: 20 November 2018 / Published: 26 November 2018
This work presents the practical design of a system that faces the problem of identification and validation of private no-parking road signs. This issue is very important for the public city administrations since many people, after receiving a code that identifies the signal at the entrance of their private car garage as valid, forget to renew the code validity through the payment of a city tax, causing large money shortages to the public administration. The goal of the system is twice since, after recognition of the official road sign pattern, its validity must be controlled by extracting the code put in a specific sub-region inside it. Despite a lot of work on the road signs’ topic having been carried out, a complete benchmark dataset also considering the particular setting of the Italian law is today not available for comparison, thus the second goal of this work is to provide experimental results that exploit machine learning and deep learning techniques that can be satisfactorily used in industrial applications. View Full-Text
Keywords: tow-away sign; Italian road sign; pattern recognition; deep learning tow-away sign; Italian road sign; pattern recognition; deep learning
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MDPI and ACS Style

Balducci, F.; Impedovo, D.; Pirlo, G. Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods. Sensors 2018, 18, 4147. https://doi.org/10.3390/s18124147

AMA Style

Balducci F, Impedovo D, Pirlo G. Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods. Sensors. 2018; 18(12):4147. https://doi.org/10.3390/s18124147

Chicago/Turabian Style

Balducci, Fabrizio, Donato Impedovo, and Giuseppe Pirlo. 2018. "Detection and Validation of Tow-Away Road Sign Licenses through Deep Learning Methods" Sensors 18, no. 12: 4147. https://doi.org/10.3390/s18124147

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