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Recent Submissions

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Learning to Wait: Preventing Global Congestion from Local Observations in Real-Time Crowd Navigation

(The Eurographics Association, 2025) Ruprecht, Irena; Michelic, Florian; Preiner, Reinhold; Comino Trinidad, Marc; Mancinelli, Claudio; Maggioli, Filippo; Romanengo, Chiara; Cabiddu, Daniela; Giorgi, Daniela

We present a real-time crowd simulation approach based on reinforcement learning (RL), addressing congestion prevention in confined spaces. We learn a local navigation policy that uses compact, fast-to-compute per-agent observations of a small set of neighbors, including their desired directions. Alongside goal progress and inter-agent spacing, we reward agents for waiting when neighbors ahead pursue similar goals. This formulation fosters global self-organization from purely local interactions. Preliminary results show reduced congestion and consistent goal attainment for large crowds with hundreds of agents.

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BASS-MLIC: a Novel Synthetic Dataset for Single-View Inverse Rendering Tasks on Cultural Heritage Artifacts

(The Eurographics Association, 2025) Righetto, Leonardo; Ullah, Shakir; Giachetti, Andrea; Comino Trinidad, Marc; Mancinelli, Claudio; Maggioli, Filippo; Romanengo, Chiara; Cabiddu, Daniela; Giorgi, Daniela

BASS-MLIC is a synthetic dataset created with Blender to support multi-light image processing and inverse rendering tasks. It features orthographic views of culturally significant surfaces rendered with realistic materials and includes rich ground truth annotations, such as normals, depth, shadows, materials, and BRDF parameters. These annotations enable evaluation across diverse tasks like relighting, Photometric Stereo, shadow-aware estimations, and BRDF fitting. Preliminary experiments highlight its practical utility.

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Virtual Crash Testing of Palletized Loads through Physics-Based Simulation

(The Eurographics Association, 2025) Boroni Grazioli, Matteo; Musoni, Pietro; Iotti, Eleonora; Palú, Alessandro Dal; Comino Trinidad, Marc; Mancinelli, Claudio; Maggioli, Filippo; Romanengo, Chiara; Cabiddu, Daniela; Giorgi, Daniela

Crash tests on loaded pallets are essential to ensure cargo stability during transport, as sudden accelerations or decelerations can cause loads to shift, topple, or become damaged. However, physical testing is costly, time-consuming, and destructive. To address these challenges, we present a virtual approach using physics-based simulation to model pallet behavior under realistic transport scenarios. In our method, both boxes and the stretch wrap are simulated using Extended Position-Based Dynamics (XPBD). Boxes are treated as rigid bodies, while distance constraints applied to the outer layer of the stack reproduce the compressive forces of real wrapping. Wrap failure is modeled by removing overstretched constraints, enabling the simulation of tearing events. Moreover, the widespread use of plastic wrapping has driven research into eco-friendly alternatives. Our simulation provides a safe, cost-effective way to evaluate such materials, supporting the study of pallet crash scenarios and laying the foundation for future improvements in physical realism, contact handling, and validation against real-world test data.

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Metrics and Tools for Geometry-Based Analysis of Urban Scenes from a Human Perception Perspective

(The Eurographics Association, 2025) Cutruzzulà, Simona; Mortara, Michela; Spagnuolo, Michela; Comino Trinidad, Marc; Mancinelli, Claudio; Maggioli, Filippo; Romanengo, Chiara; Cabiddu, Daniela; Giorgi, Daniela

The morphology of a city, the distribution of services and attractions, the presence of vegetation, or the openness of public spaces are all elements that shape how citizens perceive the urban environment they live in. Understanding which features most strongly influence the impression people have of a place is an essential step toward designing effective strategies for urban improvement. In this work, we propose useful tools to analyse, and possibly quantify, the impact that environmental characteristics, such as surrounding colours, amount of light and spatial distribution of urban elements, can have on human perception. Specifically, we consider the geometry of the human field of view to delimit the visible portion of an urban area from a given position, and we introduce new metrics and algorithms for the analysis of the scene. Furthermore, we model the way visual information is captured by our eyes and processed by our brain, relying on basic principles of optics and common techniques in colour engineering. The project is still ongoing, but early results highlight its potential to obtain deeper insights into the citizens' perception of urban environments.

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Organising and Enriching Urban 3D Models for Digital Twin Applications

(The Eurographics Association, 2025) Pittaluga, Simone; Cabiddu, Daniela; Mortara, Michela; Spagnuolo, Michela; Comino Trinidad, Marc; Mancinelli, Claudio; Maggioli, Filippo; Romanengo, Chiara; Cabiddu, Daniela; Giorgi, Daniela

The creation of an urban digital twin for the city of Matera, including 3D geometric models of the city landscape and heterogeneous information coming from different data sources, highlighted the need for a graphical user interface capable of integrating complex 3D urban scenes with geo-referenced data and knowledge (e.g., from real-time sensors, administrative information systems, algorithmic analysis and simulation, manual annotation) and making them easily accessible to a range of users with different levels of expertise. From these requirements, a new tool Matera3D has been developed as a specialized software platform for visualizing, analyzing and documenting 3D urban models. The application integrates point cloud and triangle mesh management with interactive semantic annotation, CityGML compliant dictionaries, and basic morphological analyzes, such as shadow computation and street slope measurements, as an initial set of processing tools that will be extended in the future. The software organizes all project data, including geometry, annotations, metadata, and scalar fields embedded in the geometry, within a coherent folder structure to ensure interoperability and efficient sharing. The software can show data from different sources and of different types in an integrated 3D view to facilitate research and practical applications in urban planning, environmental assessment, and infrastructure management beyond the popular 2D (GIS) approach.