Nives Grasso
Papers
1
Total Citations
6
H-Index
1
About
Nives Grasso is a researcher whose work lies at the intersection of geomatics, 3D spatial analysis, and architectural modeling. Her primary research focuses on developing computational strategies to evaluate visibility and spatial perception within complex indoor environments, particularly using point cloud representations derived from laser scanning or photogrammetry. A key contribution is her work on formulating algorithms that analyze how architectural configurations, object placements, and human actions affect visual access along interior paths. Her most-cited paper, "Strategies to Evaluate the Visibility Along an Indoor Path in a Point Cloud Representation" (2017, 6 citations), directly addresses this challenge, offering a novel method for quantifying visual connectivity in 3D space—a critical tool for applications in navigation, security, and architectural design. By moving beyond traditional 2D isovist analysis to true 3D volumetric assessment, Grasso’s research provides a more nuanced understanding of how built environments are perceived and experienced. Her work is particularly valuable for professionals in architecture, urban planning, and emergency response, where precise spatial awareness can inform safer and more intuitive designs.
Research Focus
Key Achievements
Top Papers
- 1