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A Practical Approach for Vehicle Speed Estimation in Smart Cities

The last few decades have witnessed the increasing deployment of digital technologies in the urban environment with the goal of creating improved services to citizens especially related to their safety. This motivation, enabled by the widespread …

Heimdall:an AI-based infrastructure for traffic monitoring and anomalies detection

Since their appearance, Smart Cities have aimed at improving the daily life of people, helping to make public services smarter and more efficient. Several of these services are often intended to provide better security conditions for citizens and …

Reinforced curriculum learning for autonomous driving in CARLA

Autonomous Vehicles promise to transport people in a safer, accessible, and even efficient way. Nowadays, real-world autonomous vehicles are build by large teams from big companies with a tremendous amount of engineering effort. Deep Reinforcement …

A novel blockchain scheme combining prime numbers and iris for encrypting coding

This paper presents a novel technique to build an access key that finds its natural fit in blockchain, smart cities environments, transactions of electronic currencies and, as proved by NIST tests, in high computer security scenarios where having a …

A Deep Learning Solution for Integrated Traffic Control Through Automatic License Plate Recognition

Nowadays, Smart Cities applications are becoming steadily popular, thanks to their main objective of improving people daily habits. The services provided by the aforementioned applications may be either addressed to the entire digital population or …

From Fully Supervised to Blind Digital Anastylosis on DAFNE Dataset

Anastylosis is an archaeological term consisting in a reconstruction technique whereby an artefact is restored using the original architectural elements. Experts can sometimes imply months or years to carry out this task counting on their expertise. …

Natural interaction with traffic control cameras through multimodal interfaces

Human-Computer Interfaces have always played a fundamental role in usability and commands’ interpretability of the modern software systems. With the explosion of the Artificial Intelligence concept, such interfaces have begun to fill the gap between …

A Voice User Interface for football event tagging applications

Manual event tagging may be a very long and stressful activity, due the monotonous operations involved. This is particularly true when dealing with online video tagging, as for football matches, in which the burden of events to tag can consist of …

Transfer Learning for Facial Attributes Prediction and Clustering

Notwithstanding the enhancement obtained in the last decade researches, the recognition of facial attributes is still today a trend. Besides the mere face recognition, the singular face features, like mouth, nose and hair, are considered as soft …

Automating Mockup-Based Usability Testing on the Mobile Device

User interface usability is a very relevant aspect, especially for mobile applications. In this paper we propose a methodology for automating user interface usability testing in the early phases of the development process directly on the mobile …