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Analysis of Building Accessibility Using Inertial and Optical Sensors.
Martínez-Chao, Tomás E; Menéndez-Díaz, Agustín; García-Cortés, Silverio; D'Agostino, Pierpaolo.
Afiliación
  • Martínez-Chao TE; Department of Civil, Building and Environmental Engineering, University of Naples "Federico II", 80125 Naples, Italy.
  • Menéndez-Díaz A; Department of Construction and Manufacturing Engineering, Oviedo of University, 33004 Oviedo, Spain.
  • García-Cortés S; Department of Mining Exploitation and Prospecting, University of Oviedo, 33004 Oviedo, Spain.
  • D'Agostino P; Department of Civil, Building and Environmental Engineering, University of Naples "Federico II", 80125 Naples, Italy.
Sensors (Basel) ; 23(12)2023 Jun 10.
Article en En | MEDLINE | ID: mdl-37420655
ABSTRACT
The inclusive use of urban spaces necessitates detailed knowledge of the accessibility of public buildings or places where educational, health or administrative services are provided. Despite the improvements already made in many cities regarding architectural work, further changes to public buildings and other spaces, such as old buildings or areas of historical importance, are still required. To study this problem, we developed a model based on photogrammetric techniques and the use of inertial and optical sensors. The model allowed us to perform a detailed analysis of urban routes in the surroundings of an administrative building, by means of mathematical analysis of pedestrian routes. It was applied to the specific case of people with reduced mobility and included analysis of the building accessibility as well as detection of suitable transit routes, deterioration of the road surfaces and the presence of architectural obstacles on the route.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accesibilidad Arquitectónica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accesibilidad Arquitectónica Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Italia
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