Walking/cycling/driving through a street with a 360 camera set at regular 1-sec interval capture rate is not very complex or time consuming. Exploding these 360 images into multiple overlapping smaller-FoV images lets RC make alignments between the different capture points, and also with any drone-created images created at a higher flight level from a regular grid pattern. My drone can create a 360 image automatically by taking 25 overlapping images. I used these base images (and not the 360 image) as input for a RC model, combining these with the images generated from the drone from a higher height, created using a regular flight pattern. RC aligned these lower-height 360 images and the higher grid-based images automatically, and the result was a more detailed 3D model than I had without the lower-level 360 images.
You could achieve a similar alignment if you create 360-degrees images from ground level and explode these into 25 overlapping non-360 images (i.e. the reverse process of what my drone does).