DeepMapper : Automatic Updating Crowdsourced Maps
Published in TUDublin Annual Research Symposium, 2020
This poster summarizes the proposed research on DeepMapper, a Deep Learning-based approach for automatic updating of crowdsourced maps. The study aims to develop a model that can detect and update changes in OpenStreetMap data, facilitating the maintenance of digital maps through automation.
Recommended citation: Hewa Manage, Lasith Niroshan and Carswell, James, ‘DeepMapper : Automatic Updating Crowdsourced Maps’ (2020). Other. 3. https://arrow.tudublin.ie/gradcamoth/3
Recommended citation: Hewa Manage, Lasith Niroshan and Carswell, James, 'DeepMapper : Automatic Updating Crowdsourced Maps' (2020). Other. 3. https://arrow.tudublin.ie/gradcamoth/3 https://lasith-niro.github.io/files/deepmapper-poster.pdf