{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/addressing-the-invisible-street-address","title":"Addressing the Invisible: Street Address Generation for Developing Countries with Deep Learning","arxiv_id":"1811.07769","date":"2018-11-10","proceeding":null,"authors":["Demir Ilke","Raskar Ramesh"],"abstract":"More than half of the world's roads lack adequate street addressing systems.\nLack of addresses is even more visible in daily lives of people in developing\ncountries. We would like to object to the assumption that having an address is\na luxury, by proposing a generative address design that maps the world in\naccordance with streets. The addressing scheme is designed considering several\ntraditional street addressing methodologies employed in the urban development\nscenarios around the world. Our algorithm applies deep learning to extract\nroads from satellite images, converts the road pixel confidences into a road\nnetwork, partitions the road network to find neighborhoods, and labels the\nregions, roads, and address units using graph- and proximity-based algorithms.\nWe present our results on a sample US city, and several developing cities,\ncompare travel times of users using current ad hoc and new complete addresses,\nand contrast our addressing solution to current industrial and open geocoding\nalternatives.","url_abs":"http://arxiv.org/abs/1811.07769v1","url_pdf":"http://arxiv.org/pdf/1811.07769v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"addressing-the-invisible-street-address","repo_url":"https://github.com/facebookresearch/street-addresses","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}