Urban pedestrian routes’ accessibility assessment using geographic information system processing and deep learning-based object detection
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Fecha de publicación:
2024
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Citación:
Sensors, 24(11), (2024); doi:10.3390/s24113667
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The authors would like to acknowledge the Banco de Santander and the University of Oviedo for their granting of financial aid for mobility of excellence for teachers and researchers granted on 1 May 2024; (BOPA. 132, 11-VII-2023) https://www.uniovi.es/doc
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