The objective of this project is to create an Android smartphone application which can tag features in OpenStreetMap (OSM) using the phone’s camera and GPS. OpenStreetMap is a crowd-sourced mapping project, analogous to Wikipedia for cartography. While many features such as roads and buildings can be readily drawn from aerial and satellite imagery, a complete map requires that these objects be ...

OpenStreetMap is rapidly expanding crowd-sourced data base of world map. This data, if integrated with visual information from Google Street View would be an immense store of information without manual crowd collection. This paper proposes a method of probabilistically evaluating values of heading or camera angle of Google Street View which points directly to the entity of interest whose latitu...

Volunteered geographic information can be seen as valuable data for various applications such as within disaster management. OpenStreetMap data, for example, are mainly contributed by remote mappers based on satellite imagery and have increasingly been implemented in response actions to various disasters. Yet, the quality often depends on the local and country-specific knowledge of the mappers,...

The identification of elements at risk is an essential part in hazard risk assessment. Especially for recurring natural hazards like floods, an updated database with information about elements exposed to such hazards is fundamental to support crisis preparedness and response activities. However, acquiring and maintaining an up-to-date database with elements at risk requires both detailed local ...

Surfaces influence comfort as well as energy consumption or necessary strength during wheelchair driving. However, information about surfaces is only scarcely available in OpenStreetMap. To increase the density of this information, smartphone sensors combined with crowdsourcing is used. In this work, a concept is introduced, which analyses the surface using vertical acceleration. The focus is p...

OpenStreetMap’s (OSM) increasing popularity and density urges researchers on studying its data quality. When this includes comparison with a reference dataset, a data matching is necessary for the comparison to be meaningful, usually performed manually at data preparation stage. We propose an automated matching method specifically designed for OSM in the UK, based on a multi-stage approach that...