(loger-project.github.io)
I can imagine future iterations of this which bring together other stills of the same space at that time to augment the dataset. Then perhaps another pass to fill in gaps with likely missing content based on probability or data from say the same street 10 years later.
It won't be 100% real, but I think it'd be very cool to be able to have a google-street view style experience of areas before google street view existed.
Also, I am not sure how heavy LIDAR units are, but remember that the heavier the payload the more the flight time is reduced. Some drones can only have a single payload, so if you also want to capture (high-res) video/imgs you need to fly again.
It all depends on the use-case.
> This is a reimplementation of LoGeR; complete code and models will be released upon approval.
I don't understand why it's a reimplementation either?
I would guess it's "research" code anyway so not really usable unless you are an expert.
[0] https://arstechnica.com/gadgets/2017/09/googles-street-view-...
If you want reconstruction and training of robotic movement, this is far more appropriate. I believe we're going to see robots being able to "dream" in terms of analysing historical video information on spaces and improving movement and navigation.
So not mass surveilance, but probably there's a future of mass subjugation using robot enforcement.