For Grab, having extensive street imagery in Southeast Asia is essential for logistics and provides a key source for OSM improvements in the region (over 226,000 km of roads edited by the Grab data team in 2021).
Crowdsourced collection, as powerful as it is, usually suffers from patchy coverage and a low level of detail – especially for addresses and POIs. A quick learning for us was that off-the-shelf hardware and collection tools are just not good enough to solve the problem.
This talk will cover how Grab Geo ended up with a Hardware division, how our driver-partners in Southeast Asia are contributing to enrich OSM, and how the OSM community can benefit as well from a next-gen AI camera designed from the ground up for mapping and privacy.
Speakers
Next up in State of the Map US
Previous talkMapMetrics and Automatic Road Alignment
TomTom launched MapMetrics, a system to analyze map quality for OSM globally, in August 2021 (https://www.tomtom.com/blog/maps/tomtom-openstreetmaps-mapmetrics-map-editing/). The system uses GPS traces to see where people go, and route against those traces to...
