streetVision, developed within the VITALITY project (Spoke 6, WP1), is a web-based geospatial tool designed to automate the collection and analysis of street-level imagery. This software addresses the challenge of systematic urban visual data collection by implementing an interactive mapping interface that enables users to define study areas and automatically generate equidistant sampling points along road networks. The tool integrates with Google Street View API to capture high-resolution images at each generated point, offering configurable parameters including multiple viewing angles, adjustable field of view (30° to 180°), and variable pitch angles (-90° to 90°). streetVision facilitates urban analysis through its automated data collection capabilities, allowing for the export of both spatial data (GeoJSON format) and imagery (individual images or batch downloads in ZIP format). The application's architecture employs modern web technologies, including Leaflet for mapping functionality and Turf.js for geospatial calculations, ensuring efficient processing and user interaction. This tool represents a significant advancement in streamlining the collection of street-level visual data for urban research and analysis. Keywords: urban analysis, street-level imagery, automated data collection, geospatial tool, Google Street View.

streetVision

MARCHESANI Graziano Enzo
Primo
;
Cocci Grifoni Roberta
Secondo
;
Malavolta Simone
Penultimo
;
Vagias Athanasios
Ultimo
2024-01-01

Abstract

streetVision, developed within the VITALITY project (Spoke 6, WP1), is a web-based geospatial tool designed to automate the collection and analysis of street-level imagery. This software addresses the challenge of systematic urban visual data collection by implementing an interactive mapping interface that enables users to define study areas and automatically generate equidistant sampling points along road networks. The tool integrates with Google Street View API to capture high-resolution images at each generated point, offering configurable parameters including multiple viewing angles, adjustable field of view (30° to 180°), and variable pitch angles (-90° to 90°). streetVision facilitates urban analysis through its automated data collection capabilities, allowing for the export of both spatial data (GeoJSON format) and imagery (individual images or batch downloads in ZIP format). The application's architecture employs modern web technologies, including Leaflet for mapping functionality and Turf.js for geospatial calculations, ensuring efficient processing and user interaction. This tool represents a significant advancement in streamlining the collection of street-level visual data for urban research and analysis. Keywords: urban analysis, street-level imagery, automated data collection, geospatial tool, Google Street View.
2024
296
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11581/488044
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