Sidewalk segmentation and analysis

• Grant number: 24/10882-5
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2024
• End date: July 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Roberto Marcondes Cesar Junior
• Grantee: Mateus Espadoto
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 22/15304-4 - Learning context rich representations for computer vision, AP.TEM

Abstract

This project is related to machine learning and computer vision for Urban Informatics. In this context, the intersection between the urban infrastructure and digital technologies plays an essential role. The aim is to develop Computational tools to capture and to analyze urban data to answer important questions regarding cities. In particular, two urban informatics applications will be addressed in this project: multimodal analysis (NLP and vision) and sidewalk segmentation.