Said Turksever
Said is the Community Project Manager at Meta. Said supports Meta’s Mapillary and OpenStreetMap community activities across the globe. Said is Geomatic Engineer and has a Master's degree in Geoinfoirmatics Engineering from Politecnico di Milano. He is originally from Turkey and now lives in London, UK. He is active in building the OpenStreetMap community in Turkey and interested in mapping POIs and its accessibilities.
Sessions
Traffic signs are a key feature for navigating and managing traffic safely, affecting all of us on a daily basis. However, traffic sign datasets are lacking on open government data portals as well as OpenStreetMap (OSM).
Mapillary’s computer vision capabilities can extract more than 1,500 classes of traffic signs globally from street-level imagery. Generated traffic signs are available on iD Editor, Rapid and JOSM Mapillary plugin to enrich OpenStreetMap data.
Our team wanted to know how the accuracy of traffic signs detected by Mapillary compared with the reality on the ground (the ground truth). To answer this question we collected more than thousands ground truth data in San Francisco and used this information to produce the recall, precision, and positional accuracy of our machined generated traffic sign data. This provided some interesting insights in OpenStreetMap and the level of completeness and gaps of that dataset.
In this talk, we will cover Mapillary’s traffic sign extraction capabilities, Mapillary generated traffic sign data against ground truth data and OSM’s traffic sign coverage in San Francisco’s downtown. We will be also addressing how data quality can be improved using various data collection techniques and the role of post-processing with Structure from Motion and control points annotations.
Powerful earthquakes hit southern Turkey and Syria on 6 February 2023. These earthquakes in Turkey and Syria caused thousands of casualties and destroyed cities. Geospatial infrastructure is critical to respond to these earthquakes during rescue operations, humanitarian effort as well as planning recovery activities.
Yercizenler coordinated mapping activation with the collaboration of Humanitarian OpenStreeMap team to improve open geodata infrastructure in the earthquake affected region and supporting humanitarian response in the scope of mapping.
Türkiye Earthquakes Mapping Response aims to complete open map data infrastructure before and after the event in affected areas. This response is structured with following workstreams; Remote Mapping, Post-disaster Field Data Collection, Global Community Activation and Geo-data Integration.
In this talk; we will talk about how open data and community activation helped save lives after earthquakes, what challenges we faced and what we have learnt during the Türkiye Earthquakes mapping Response effort.