Search Results for author:
Found 4 papers, 2 papers with code
Semi-supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation
In this work, we propose a semi-supervised learning (SSL) method of automatically estimating building height from Mapillary SVI and OSM data to generate low-cost and open-source 3D city modeling in LoD1.
How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
A vast amount of geographic information exists in natural language texts, such as tweets and news.
Location reference recognition from texts: A survey and comparison
Further, there lacks a comprehensive review and comparison of existing approaches for location reference recognition, which is the first and a core step of geoparsing.
Automated Detecting and Placing Road Objects from Street-level Images
Navigation services utilized by autonomous vehicles or ordinary users require the availability of detailed information about road-related objects and their geolocations, especially at road intersections.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
