Osmose-QA is a Quality Assurance tool pointing issues on map, but also able to compare external data set to OpenStreetMap. First part is about the new support of MapCSS rules in Osmose-QA and the opportunity to share rules with JOSM and other tools. Second part is on integration of external data from Mapillary photography objects extracted by AI and from OpenData. It is also on the challenge to deals with lots of OpenData.

Replacing the classics "Continue for about 200 m then turn left" by guidance instructions in more natural language automated from landmarks are still a research topic but aims to allow users to move with more confidence. The objective is to test it on an indoor/outdoor pedestrian route calculator. Anything that can be used as a landmark is extracted from OpenStreetMap, then categorized and classified to annotate the route: relevance, visibility, relative position…