Street View Imaging for Automated Assessments of Urban Infrastructure and Services

التفاصيل البيبلوغرافية
العنوان: Street View Imaging for Automated Assessments of Urban Infrastructure and Services
المؤلفون: Zünd, Daniel, Bettencourt, Luís M. A.
المصدر: Urban Informatics ; The Urban Book Series ; page 29-40 ; ISSN 2365-757X 2365-7588 ; ISBN 9789811589829 9789811589836
بيانات النشر: Springer Singapore
سنة النشر: 2021
الوصف: Many forms of ambient data in cities are starting to become available that allows tracking of short-term urban operations, such as traffic management, trash collections, inspections, or non-emergency maintenance requests. However, arguably the greatest promise of urban analytics is to set up measurable objectives and track progress toward systemic development goals connected to human development and sustainability over the longer term. The challenge for such an approach is the connection between new technological capabilities, such as sensing and machine learning and local knowledge, and operations of residents and city governments. Here, we describe an emerging project for the long-term monitoring of sustainable development in fast-growing towns in the Galapagos Islands through the convergence of these methods. We demonstrate how collaborative mapping and the capture of 360-degree street views can produce a general basis for a broad set of quantitative analytics, when such actions are coupled to mapping and deep-learning characterizations of urban environments. We map and assess the precision of urban assets via automatic object classification and characterize their abundance and spatial heterogeneity. We also discuss how these methods, as they continue to improve, can provide the means to perform an ambient census of urban assets (buildings, vehicles, services) and environmental conditions.
نوع الوثيقة: book part
اللغة: unknown
DOI: 10.1007/978-981-15-8983-6_4
الاتاحة: http://dx.doi.org/10.1007/978-981-15-8983-6_4
http://link.springer.com/content/pdf/10.1007/978-981-15-8983-6_4
Rights: https://creativecommons.org/licenses/by/4.0 ; https://creativecommons.org/licenses/by/4.0
رقم الانضمام: edsbas.60F149AB
قاعدة البيانات: BASE
الوصف
DOI:10.1007/978-981-15-8983-6_4