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Related papers: Road Mapping in Low Data Environments with OpenStr…

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Road networks are among the most essential components of a country's infrastructure. By facilitating the movement and exchange of goods, people, and ideas, they support economic and cultural activity both within and across borders.…

Machine Learning · Computer Science 2020-12-02 Benjamin Choi , John Kamalu

Massive amounts of satellite data have been gathered over time, holding the potential to unveil a spatiotemporal chronicle of the surface of Earth. These data allow scientists to investigate various important issues, such as land use…

Computer Vision and Pattern Recognition · Computer Science 2019-12-12 Stefan Oehmcke , Christoffer Thrysøe , Andreas Borgstad , Marcos Antonio Vaz Salles , Martin Brandt , Fabian Gieseke

With the great achievement of artificial intelligence, vehicle technologies have advanced significantly from human centric driving towards fully automated driving. An intelligent vehicle should be able to understand the driver's perception…

Human-Computer Interaction · Computer Science 2019-03-12 Yang Zheng , Izzat H. Izzat , John H. L. Hansen

In this paper, we propose OpenSatMap, a fine-grained, high-resolution satellite dataset for large-scale map construction. Map construction is one of the foundations of the transportation industry, such as navigation and autonomous driving.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-31 Hongbo Zhao , Lue Fan , Yuntao Chen , Haochen Wang , yuran Yang , Xiaojuan Jin , Yixin Zhang , Gaofeng Meng , Zhaoxiang Zhang

This chapter introduces OpenStreetMap - a crowd-sourced, worldwide mapping project and geospatial data repository - to illustrate its usefulness in quickly and easily analyzing and visualizing planning and design outcomes in the built…

Physics and Society · Physics 2020-08-28 Geoff Boeing

OpenStreetMap (OSM) is a community-based, freely available, editable map service that was created as an alternative to authoritative ones. Given that it is edited mainly by volunteers with different mapping skills, the completeness and…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 John Vargas , Shivangi Srivastava , Devis Tuia , Alexandre Falcao

In this work, we investigate the use of OpenStreetMap data for semantic labeling of Earth Observation images. Deep neural networks have been used in the past for remote sensing data classification from various sensors, including…

Computer Vision and Pattern Recognition · Computer Science 2017-05-18 Nicolas Audebert , Bertrand Le Saux , Sébastien Lefèvre

In the globalized economic world, it has become important to understand the purpose behind infrastructural and construction initiatives occurring within developing regions of the earth. This is critical when the financing for such projects…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Kyle McCullough , Andrew Feng , Meida Chen , Ryan McAlinden

Trees inside cities are important for the urban microclimate, contributing positively to the physical and mental health of the urban dwellers. Despite their importance, often only limited information about city trees is available. Therefore…

Computer Vision and Pattern Recognition · Computer Science 2023-11-21 Hui Zhang , Ankit Kariryaa , Venkanna Babu Guthula , Christian Igel , Stefan Oehmcke

Accurate modelling of local population movement patterns is a core contemporary concern for urban policymakers, affecting both the short term deployment of public transport resources and the longer term planning of transport infrastructure.…

Physics and Society · Physics 2019-05-21 Chico Q. Camargo , Jonathan Bright , Scott A. Hale

Roads are critically important infrastructure to societal and economic development, with huge investments made by governments every year. However, methods for monitoring those investments tend to be time-consuming, laborious, and expensive,…

Computer Vision and Pattern Recognition · Computer Science 2018-12-07 Gabriel Cadamuro , Aggrey Muhebwa , Jay Taneja

Data deprivation, or the lack of easily available and actionable information on the well-being of individuals, is a significant challenge for the developing world and an impediment to the design and operationalization of policies intended…

We have released an open dataset with global coverage on road surface characteristics (paved or unpaved) derived utilising 105 million images from the world's largest crowdsourcing-based street view platform, Mapillary, leveraging…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Sukanya Randhawa , Eren Aygun , Guntaj Randhawa , Benjamin Herfort , Sven Lautenbach , Alexander Zipf

Improving global school connectivity is critical for ensuring inclusive and equitable quality education. To reliably estimate the cost of connecting schools, governments and connectivity providers require complete and accurate school…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Isabelle Tingzon , Utku Can Ozturk , Ivan Dotu

Resilient road infrastructure is a cornerstone of the UN Sustainable Development Goals. Yet a primary indicator of network functionality and resilience is critically lacking: a comprehensive global baseline of road surface information.…

Automatic road extraction from satellite imagery using deep learning is a viable alternative to traditional manual mapping. Therefore it has received considerable attention recently. However, most of the existing methods are supervised and…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Shiqiao Meng , Zonglin Di , Siwei Yang , Yin Wang

Transportation systems can be conceptualized as an instrument of spreading people and resources over the territory, playing an important role in developing sustainable cities. The current rationale of transport provision is based on…

Physics and Society · Physics 2019-08-05 J. Siqueira-Gay , M. A. Giannotti , M. Sester

Satellite images are an extremely valuable resource in the aftermath of natural disasters such as hurricanes and tsunamis where they can be used for risk assessment and disaster management. In order to provide timely and actionable…

Image and Video Processing · Electrical Eng. & Systems 2020-06-11 Ananya Gupta , Simon Watson , Hujun Yin

Road transportation is of critical importance for a nation, having profound effects in the economy, the health and life style of its people. With the growth of cities and populations come bigger demands for mobility and safety, creating new…

Machine Learning · Computer Science 2019-08-28 M. Ricardo Carlos
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