Beata Tautan-Jancso

In this workshop, OSM mappers and software developers Beata and Laura will help you get started adding the more than 2 million roads that are missing from OSM according to ImproveOSM, the global open dataset that compares actual car trips with OSM data.

In this workshop, OSM mappers and software developers Beata and Laura will help you get started adding the more than 2 million roads that are missing from OSM according to ImproveOSM, the global open dataset that compares actual car trips with OSM data. In the first part, we will show you what ImproveOSM is, how it is made, what the data looks like and how you can use it. In the second part, we will get our laptops out and do some mapping using the JOSM ImproveOSM plugin. We will have a leaderboard for the event and mapping prizes as well! The workshop assumes you have some experience using JOSM. Bring a laptop! Beata Tautan-Jancso is a java developer and leads the Telenav JOSM team. She works on implementing different tools that expose the results of the Telenav OSM data analysis team. Laura Dumitru is a java developer that works on services and JOSM plugins that aid in the process of visualizing and validating the results of the data analysis. Telenav has been a user of and contributor to OpenStreetMap since 2013, when we launched the Scout mobile navigation app powered by OSM data. Even before that, Skobbler, now part of Telenav, has been part of the OSM community for much longer. Our contributions to OSM include tools like OpenStreetCam, MapRoulette, MapDust, a number of JOSM plugins to help mappers, as well as ImproveOSM open data to help mappers find missing roads, one-ways and turn restrictions. Since 2015, The Telenav map team has improved OSM by adding thousands of new roads, turn restrictions, and detectable road signs in the U.S. and Canada.

Other people: Deleted User

Lightning Talks

## Human in the Loop: Verifying Machine-Generated Data for Better Maps Said Turksever

Machine-generated map data has the potential to considerably accelerate mapping at scale. Combining it with human review helps ensure high data quality. We’ll show how a simple game-based tool helps verify the map data generated by Mapillary’s AI, and how that data helps enhance OpenStreetMap.

## Share the word Ilya Zverev

WeeklyOSM is great, but is it the only channel for following news in OpenStreetMap? For most countries, yes. And that is sad. You can change it for the better: start a blog, record a podcast, tweet something. Here I will share my experience at keeping OSM community informed.

## Enhancing OSM with missing roads Beata Tautan-Jancso

ImproveOSM is a powerful tool that detects and highlights areas in OSM where roads, one-way attributes, and turn restrictions are missing from the map. The first version of the JOSM plugin was released in 2015. Since then, the community has improved almost 200.000 areas with missing roads.

## Community led mapping helping in policy changes Sibabrata Choudhury

Beginning of 2015 a process of community consultation and community led advocacy in the eastern state of India has resulted in several communities developing maps of their plots which has been a breakthrough experience.

## How to create a data annotation process used for navigation Alina Negreanu

In this talk, the Telenav OpenTerra team will present how they built their data annotation team and the processes they developed in order to assure high-quality annotations, on which their AI algorithms heavily rely on. They will talk about good practices to use when building manual datasets and the hurdles they had to overcome in order to reach their quality requirements, having so far reached more than 600 000 annotations.

Other people: Alina Negreanu Sibabrata Choudhury Ilya Zverev Said Turksever