Results 141 to 150 of about 2,071 (151)
Some of the next articles are maybe not open access.
Towards generating network of bikeways from Mapillary data
Computers, Environment and Urban Systems, 2021Abstract Nowadays, biking is flourishing in many Western cities. While many roads are used for both cars and bicycles, buffered bike lanes are marked for the safety of cyclists. In many cities, segregated paths are built up to have physical separation from motor vehicles. These types of biking ways are regarded as attributes in geographic information
Hongchao Fan, Jianya Gong
exaly +2 more sources
Mapillary Planet-Scale Depth Dataset
Lecture Notes in Computer Science, 2020Learning-based methods produce remarkable results on single image depth tasks when trained on well-established benchmarks, however, there is a large gap from these benchmarks to real-world performance that is usually obscured by the common practice of fine-tuning on the target dataset.
Manuel Lopez Antequera +2 more
exaly +2 more sources
The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes
2017 IEEE International Conference on Computer Vision (ICCV), 2017The Mapillary Vistas Dataset is a novel, large-scale street-level image dataset containing 25000 high-resolution images annotated into 66 object categories with additional, instance-specific labels for 37 classes. Annotation is performed in a dense and fine-grained style by using polygons for delineating individual objects.
Gerhard Neuhold +2 more
exaly +2 more sources
Cross-Linkage Between Mapillary Street Level Photos and OSM Edits
Lecture Notes in Geoinformation and Cartography, 2016Mapillary is a VGI platform which allows users to contribute crowdsourced street level photographs from all over the world. Due to unique information that can be extracted from street level photographs but not from aerial or satellite imagery, such as the content of road signs, users of other VGI Web 2.0 applications start to utilize Mapillary for ...
Levente Juhász, Hartwig H Hochmair
exaly +2 more sources
Transactions in GIS, 2016
AbstractMapillary is a Web 2.0 application which allows users to contribute crowdsourced street level photographs from all over the world. In the first part of the analysis this article reviews Mapillary data growth for continents and countries as well as the contribution behavior of individual mappers, such as the number of days of active mapping.
Levente Juhász, Hartwig H Hochmair
exaly +2 more sources
AbstractMapillary is a Web 2.0 application which allows users to contribute crowdsourced street level photographs from all over the world. In the first part of the analysis this article reviews Mapillary data growth for continents and countries as well as the contribution behavior of individual mappers, such as the number of days of active mapping.
Levente Juhász, Hartwig H Hochmair
exaly +2 more sources
Points-of-Interest from Mapillary Street-level Imagery: A Dataset For Neighborhood Analytics
2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW), 2023Negin Zarbakhsh, Gavin McArdle
exaly +2 more sources
Characterizing housing stock vulnerability to floods by combining UAV, Mapillary and survey data
2021To accurately identify the most vulnerable areas to floods, physical (e.g., building material) and social (e.g., education, health, income of households) housing stock information is required. However, in developing countries, this information is often unreliable, unavailable or inaccessible, and manual data collection is time-consuming.
Gortzak, Inez +4 more
openaire +2 more sources
MAPPING COMMUNITIES POI USING OSM AND MAPILLARY
2022Shrestha, Rabi, Gaurav Parajuli
openaire +1 more source
The State of Mapillary: An Exploratory Analysis
ISPRS International Journal of Geo-Information, 2020Hongchao Fan, Wenwen Li
exaly
Technical Guidelines to Extract and Analyze VGI from Different Platforms
Data, 2016Levente Juhász +2 more
exaly