On the SOTM US 2020 there was a Talk by a company pixel8 which generated aerial imagery like data based on 360° camera footage and the point clouds that where generated from that data.
Sean who gave the talk github___com/Seagor (with no public activity)
We have a very good coverage of 360° images in Berlin (www.mapillary___com/app/?lat=52.506301933146034&lng=13.423026679840177&z=10.791402974605587&panos=true) in general and can add more pictures for specific areas easily.
So I am wondering, if there is a (reasonably easy) way to create this kind of data with OpenDroneMap or a similar process.
In my mind this setup could easily become more useful than the drone based process of data-capturing since creating 360° images is so much easier and can be taught a lot easier to more people. Also, for cities like Berlin drones are a no go for most situations, but 360° images are OK to take.
(Sorry, had to break the links so I can post as a new user (2 Link limit). Replace the ___ with a dot…)
Hey Saijn, thanks für your reply! Will look to provide some good sample data, captured with a GoPro Max. I assume that having multiple “lanes” of images for one area is important… will capture a few variations in a few weeks.
Using a GoPro Max 2021 wiki–openstreetmap–org/wiki/Berlin/Kameraverleih
About the sets:
One set of pictures is take in a “helmet cam” style, so right at the hight of may head
One set of pictures is taken from higher up, like with a selfie stick (Blogpost: for Bikes I experimented with this a lot more www–openstreetmap–org/user/tordans/diary/395215)
For each, I did two passes:
Go past the playground and trough like I would with a regular “Mapillary walk”
Walk in a grid like I image a drone would fly
With this I could see four experiments, trying to generate areal imagery from the point cloud:
head-height + walk past+trough
head-height + grid-walking
selfie stick-height + walk past+trough
selfie stick-height + grid-walking
Again, for cities like Berlin that have a log of Mapillary data but cannot take drone pictures for practical and legal reasons, having a way to use 360° images to create kind-of-areal imagery would be a great addition for micro mapping complex situations.
I wrote up a detailed blog post on the process I used to create aerial imagery from a GoPro mounted on a bike helmet! Let me know what you think or if you have ideas to improve my process.
