What’s the problem (Bottom Line Up Front (BLUF))?
See my original post, here: https://community.openstreetmap.org/t/lidar-mapping-of-roads/97100/14
Hi, everybody!
Motivated by the state of roads in the UK, I’m wondering if anyone is aware of any Open Source/ crowdsourced efforts to assess the condition of surfaces, and then to map them?
I’m aware of lower cost LIDAR equipment, and I believe that some Apple phones have a LIDAR capability.
I’m thinking of something like Mapillary/ Kartaview. Sensor imagery could be gathered, and then scored appropriately, so severity could be seen. I’m thinking that a 100mm pothole on an unclassified and little used road/ lane, would potentially be of less interest/ lower priority than a 50mm pothole on a major motorway/ autobahn/ freeway.
Obviously, potholes are just one example, other immediate possibilities are subsidence, wear and tear, accident damage.
I’d be keen to hear any thoughts/ feedback. Please add to this page, if you can.
Many thanks, Chris chris_debian UK
What can we do about this?
Road damages create comfort-, environmental- and security problems. Existing measurement technologies are very expensive and can only be used rarely. With smartphones you can measure often or in remote areas.
Regarding ‘mapping potholes’, I expect this to be a layer applied to OSM, not data contained within OSM. It will be open source information, for people that can use it. My thinking being that OSM isn’t a repository for other data, but it can help us gather data, and we may be able to give back to OSM.
What has already been done, by whom?
SmartRoadSense [email protected] (seems to be broken), github and APK
- “Open Data” under the Open Data Commons Open Database License (OdbL)
- Map= https://smartroadsense.it/data/map/
- Privacy= https://smartroadsense.it/data/privacy/
Se recomienda hacer la identificación principal del lugar (donde se menciona el nombre del centro) como un punto. Se pueden hacer representaciones adicionales (e.g., extensión del terreno, edificios, …) con otros tipos de geometría (área, línea).

