We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

How could field collection for OSM look like in the future?

Formal Metadata

Title
How could field collection for OSM look like in the future?
Title of Series
Number of Parts
41
Author
License
CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
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. This talk was presented at State of the Map US 2022. To learn more about State of the Map US 2022, visit https://2022.stateofthemap.us/ Learn more about OpenStreetMap US at https://www.openstreetmap.us/