Openly Licensed Streetview with Panoramax
tzovar.as
tzovar.as
In France though, a few months ago, there was not really more than one big french city (Strasbourg) captured in 360°.
Now, more than ten big cities have interesting coverage. Check out this link to see a map of all the 360° photos https://api.panoramax.xyz/#focus=map&map=7.33/47.583/0.742&p...
In fact, lots of municipalities already have 360° photos of their streets... sleeping on their servers.
Interesting fact : in France, public funded administrations must open their data, by law, exceptions aside.
Disclaimer : I'm not working on the Panoramax project, but plugged it on https://cartes.app/?choix+du+style=oui&rue=oui#6.67/47.493/2... (https://github.com/laem/cartes), the French open source alternative to Google Maps, which is in dire need of good quality 360° photos !
Between only French forum, French FAQ on the website (English website) and dead links...it's...uhm
I mention it because for imaging, small heading errors have way more impact on where you're looking than small position errors but single antenna gps doesn't really give you headings except with assumptions from motion.
I've got one sitting in a box here, haven't tried it out yet but plan to soon...
The same cannot be said of one person in one day for mapping the data on OSM.
Expect Panoramax to grow way faster than OSM :)
It has the potential, but framing sets expectations and mine were not met. This is feedback for the author and anyone around the project trying to come up with a pitch. Focus on what it could be, don't try to say it is something it isn't (yet).
This is obvious by looking at the coverage the world. France it where the majority of the coverage is. The coverage of most cities is actually pretty impressive for a young project.
While the UI and coverage is not necessarily on par with street view, it's still pretty usable in France.
Secondly Panoramax is first built for OSM contributors/mappers, not for end users. The blog reflects this in the tldr: "If you are interested in contributing"
As storage gets cheaper I would like to see seasonal as well as night/day images for streetview photography.
Indeed the guide is only in French for now... https://panoramax.fr/comment-participer-a-panoramax/guide-co...
One user coded a script to download your mapillary images and reupload them on panoramax https://forum.geocommuns.fr/t/outil-mapillary-download-pour-...
The insane thing is there are only like 7 companies that actually have meaningful datasets.
I spent 1.5 years studying the geospatial space and went so far as buying a Mosaic51 and scanning the entire country of Andorra as a test before looking at buying the camera manufacture.
Ultimately I walked away from buying the company after issues with the family office I was working with... but long story short I believe streetview imagery will be a gold mine in the future.
If anyone is working in the space. Feel free to ping me, happy to chat and even make intros to the space. If you are training an AI, ping me as well. Happy to open my images up to the right person to make something "country scale" (160k images... every 3 meters with RTK labeled gnss data).
I also have a real estate project and want to work on AI analysis of local streetview to learn about the neighbourhood.
I've wanted to build something to automate this with AI but haven't had time.
I would love to chat!
Curious whether you think this is more than just improving mapping/routing related stuff, though.
Not sure this is a good example : elevation data should be good enough to avoid this kind of roads. See e.g. https://sonny.4lima.de for Europe.
For your general thought, see here : https://blog.google/products/maps/google-maps-101-how-we-map...
> It all starts with imagery
> Street View and satellite imagery have long been an important part of how we’re able to identify where places are in the world—it shows us where roadways, buildings, addresses and businesses are located in a region, in addition to other important details—such as the town’s speed limits or business names.
So I guess what you're proposing is already done for several years but in more subtle ways.
Remember that Google Maps doesn't have the power of OSM. Hence the need for automation.
I'm not sure elevation data is enough, nor is speed limit. In many places, like the Cotswolds, the main route includes a 20% gradient. The difference is the road will be wide with overtaking lanes etc. and often a reduced speed limit. Then you have places like Devon where there are national speed limit (the highest) roads with such poor visibility they are best avoided unless you have no other choice. I find it's hard to know what the quality or "character" of a road will be until you actually get there, but Google seems to treat them all equally.
I don't know about the rest of the world, but in the Los Angeles metro area, Google Maps already gives directions like this. "Turn left after the Carl's Jr.", "Turn right after the Starbucks". I notice it's usually done in areas where street signs are hard to see, but there is a clear landmark for the driver e.g. the golden arches of a McDonald's.
"Crawling the physical web".
Most Panoramax discussions are in French, but you'll find links to English code.