Are you describing what Mapillary is doing ? It's a crowdsourced street level imagery provider (owned by Facebook since 2020, but still contributing to OSM), but they do auto-detection of feature (you can see that in the online OSM editor: Map Data > Photo Overlays > Mapillary > Map Features).
I vaguely remember a blog post about doing photogrammetry out of their images, but I'm not entirely sure about it.
the compute for rigidly separated binocular vision is much much more compute efficient and precise than having to guesstimate positions from monocular + IMU.
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Are you describing what Mapillary is doing ? It's a crowdsourced street level imagery provider (owned by Facebook since 2020, but still contributing to OSM), but they do auto-detection of feature (you can see that in the online OSM editor: Map Data > Photo Overlays > Mapillary > Map Features).
I vaguely remember a blog post about doing photogrammetry out of their images, but I'm not entirely sure about it.
I was talking about photogrammetry, preferably with 2 global shutter synchronous image sensors, attached to the ends of say a 1 m pole.
Don't need global shutter just use a bit more math and IMU data with frequency in excess of the frame rate.
Make it work with the recording capabilities of a good modern phone and handle the compute in non-real-time.
the compute for rigidly separated binocular vision is much much more compute efficient and precise than having to guesstimate positions from monocular + IMU.