It's great to see more open data like this, lots of uses for creating maps by hand or even machine learning.
Yet, even for a simple embed on a website, you have to pay them $99 / month. Using the images for custom maps: $249 / month.
Accessing the data is not publicly available, but is probably in the range of enterprise pricing options, only listed as "Contact Us". To me this seems to be the opposite of the OSM model and there is a huge need for a OSV like platform.
(The OSM Foundation has no connection with either project and is traditionally focused on its core task of collecting and distributing openly-licensed vector geodata.)
The short answer is that if you sign up for a normal account and upload a photo to Mapillary, it appears for all other users on their website and is available in some OSM editors. Getting the complete raw data is not currently possible.
Mapillary also apparently offers private databases to users, those photos aren't available to the public. But those users aren't going to be naive to that fact, they are paying for the private instance.
Street View itself has been around since 2007.
What is "a street view service" other than Google Street View?
Bing has a similar service called Streetside. I can't find any usage of the phrase to mean anything other than Google's service.
Mapillary uses the phrase "street level photos"
It is a registered trademark as well: http://tmsearch.uspto.gov/bin/showfield?f=doc&state=4805:dq9...
I think in a dispute, Google would very likely win.
In the US. But OSM doesn’t have to care about that – the worst that could happen would be them being banned from doing business in the US, or their profits being seized.
Which is no risk to them.
It's run by the US company Telenav (all over the terms: http://openstreetview.org/terms/ ).
I guess individual users are giving OpenStreetView/Telenav some permissions via OpenStreetMap oauth.
It would be more useful if people stuck two phones (one on each side of the car) to take pictures of the passing buildings rather than road
Seeing as, for now at least, you need to have an OpenStreetMap account to contribute to OpenStreetView, it's pretty clear that the initial target market for usefulness is mappers.
Or whether there are any affordable 360 degree cameras which exist.
With the wide-angle view, even pointing it forwards you can get quite a bit of the surrounding area.
I wonder how privacy issues are handled though. Is any blurring of car numbers or faces being done or planned?
I guess nothing much will happen with it, a patchwork of point clouds is less interesting than a patchwork of photos.
Mapillary has done some work on recovering a point cloud just from correspondence between the photos.
So for a car-mounted system surveying streets, the power would be comparable to having headlights on all the time.
Why would that be necessary? All the pictures were taken in public so there's no expectation of privacy.
Also, at least in Germany, the right to your own image does not apply when "persons only appear as props next to a landscape or other location". (Whatever that means is usually decided by the judge AFAIK.) Source: https://www.gesetze-im-internet.de/kunsturhg/__23.html
If you pay some attention you're probably going to be ok, but the "probably" is the annoying thing for individual actors. (E.g. I think Google lost a few lawsuits in Europe and Canada due to people being recognizable even with their face blurred. Annoying and expensive for Google, a criminal conviction and really expensive if it successfully hits an individual.)
Good thing for an open, collaborative project is that you are not Google and can be more aggressive with filtering questionable images. Google seemed to value having complete coverage of areas quite a bit, open projects don't have to as much. Some data is better than none, and holes can be closed later, step by step.
Unblurring is likely to be legally problematic in EU.
Just because you can go around publicising random people's locations, doesn't mean you should.
What would be amazing to also have LIDAR sensors (EXPENSIVE! I know, I know) which would really make amazing data for self driving/completely autonomous vehicles; not only cars but also drones, etc.
Anyone know the pro/con for implementing LIDAR (although it maybe super late before we have enough data for effective navigation at long distances), and if it is worth it?
I think it would be really cool to have info about the heights of buildings, exact positions of traffic lights, etc. which are miniscule but crucial for low altitude drone navigation. Or can we infer almost everything from the picture data?
This was tried in court, and Google failed.
Panoramafreiheit only applies at eye level (I’ve talked with a few people studying law about this due to the current drone debate)
You can do it already with Flickr. They provide metadata of images, you can selected images from a map/region.