Luca Piovano

Universidad Politécnica de Madrid | UPM · Research Centre for Smart Buildings and Energy Efficiency

INTRODUCTION. Over the last few years, the number of pedestrian fatalities on urban roads has increased, largely due to infractions associated with their behaviors (e.g., crossing when traffic lights are red). It is argued that these behaviors reflect a lack of risk perception. Road safety programs have tried to raise awareness through various meth...

The study of vulnerable road users (VRUs) behavior is key to designing and optimizing driving assistance systems, such as the autonomous emergency braking (AEB) system. These kinds of devices could help lower the VRU accident rate, which is of particular interest to cyclists, who are the subject of this research. To better understand cyclists' reac...

Understanding pedestrians’ cognitive processes in traffic environments is crucial for developing strategies to enhance safety and reduce accidents. This study assesses the efficacy of virtual reality (VR) in evaluating pedestrian behavior in simulated road-crossing scenarios. It investigates VR’s capability to realistically mimic the cognitive load...

The fusion of Internet of Things (IoT), Digital Twins, and Virtual Reality (VR) technologies marks a pivotal advancement in urban development, offering new services to citizens and municipalities in urban environments. This integration promises enhanced urban planning, management, and engagement by providing a comprehensive, real-time digital refle...

This paper proposes a combined system (OPREVU-AES) that integrates optimized AEB and Automatic Emergency Steering (AES) to generate evasive maneuvers, and it provides an assessment of its effectiveness when compared to a commercial AEB system. The optimized AEB system regulates the braking response through a collision prediction model. OPREVU is a...

Among the possible improvements of Autonomous Emergency Braking (AEB) systems, reducing the intensity of the automatic braking process by studying the kinematics and general behavior of the pedestrian while crossing is crucial to determine the progressiveness of the braking, or replacing part of the braking process by an evasive maneuver when a col...

The definition of pedestrian behavior when crossing the street and facing potential collision situations is crucial for the design of new Autonomous Emergency Braking systems (AEB) in commercial vehicles. To this end, this article proposes the generation of classification models through the deployment of machine learning techniques that can predict...

The smart management of the public lighting infrastructure is essential to reduce energy consumption without negatively affecting the quality of life of citizens. The corresponding decision-making process needs tools and approaches to steer stakeholders’ strategies based on clear evidence and data. By introducing Virtual Reality in the context of t...

INTUIT is a SESAR 2020 Exploratory Research project which aims to explore the potential of visual analytics and machine learning techniques to improve our understanding of the trade-offs between ATM KPAs and identify cause-effect relationships between indicators at different scales. The ultimate goal is to provide ATM stakeholders with new decision...

Understanding the complexity and dynamicity of cities, as well as predicting and leading their evolutions, are topics of interest of new scientific disciplines such as smart city and city science. The development of better urban theories and simulation models could be fostered by both the availability of suitable datasets illustrating several urban...

Urban economic activities are an essential facet in defining city identity. Traditional approaches rely very often on the most theoretical and quantitative features of the studies, excluding de-facto a direct association between those findings and the tangible subject of the analysis. To fill the gap, the Big Data era and information visualization...

Space exploration is a very challenging task for various reasons, such as hostile environments, different gravity laws, either unknown or unpredictable phenomena which need ad hoc technological solutions to be devised first and then put in practice. In this context, virtual reality techniques can help the aerospace industry to improve the planning...

3D terrain representation has been widely exploited in a number of applications to depict terrestrial surface simulations. Nevertheless, it could also be successfully employed by aerospace industry to represent planetary soils, such as the Lunar and the Martian ones. In this paper, we are discussing the results of an application developed at Thales...

Most of the works for solving early vision problems, such as stereo, rely on inference techniques and cyclic graphical models. Although Loopy Belief Propagation is one of the most interesting tools as it applies to that research field, loops are still a major challenge to face: the main problem arising with them is the introduction of approximation...

The paper deals with the design and implementation of a stereo algorithm. Disparity map is formulated as a Markov Random Field with a new smoothness constraint depending not only on image derivatives, but also on segmentation results and gradient directions. With these constraints we force disparity continuity inside each segmented object, while it...