u/inkedflight

This is not video footage. It is a camera animation inside a 3D Gaussian Splat trained from drone photos.

The dataset was captured with a DJI Matrice 4 Enterprise over roughly 1 km² around the planned Mjøssykehuset hospital project in Moelv, Norway. The goal is to explore how lifelike 3D reality capture can help visualize construction and infrastructure projects in their real-world surroundings.

This version shows the captured environment only. The next step will be to combine the scene with BIM / design models, allowing project teams and stakeholders to better understand how a future building fits into the actual site.

Technical details:
5517 photos / 36.5 GB dataset
Trained with LichtFeld Studio
20M splats, SH2, PPISP, MrNeRF strategy
550k iterations
~23 hours total training time
RTX 5090 + RTX 6000 Ada

Capture + processing:
DJI Matrice 4 Enterprise
RealityScan + LichtFeld Studio

4k version: https://www.youtube.com/watch?v=tvruJz8Lj0w

Drone capture and 3D Gaussian Splat by Alos Engineering

DJI just released two new drones, the Lito 1 and Lito X1, and I’ve been going through the specs + store pages. Haven’t tried either yet, but my first reaction is that DJI’s lineup is starting to get kind of messy.

My impression is that the Lito series is basically DJI carving out a new middle tier between the Neo-style "easy flying camera" drones and the more expensive Mini line.

The Lito 1 starts at 339 € and on paper it looks pretty strong for the price:

• 1/2" 48 MP sensor
• 4K/60
• 4K/100 slow motion
• omnidirectional obstacle sensing
• ActiveTrack
• 36 min flight time
• 15 km transmission
• 249 g

That makes it feel like a pretty direct upgrade over stuff like the Mini 4K, which is cheaper but also much more basic. Mini 4K still looks fine if you just want a simple cheap camera drone, but Lito 1 feels much more "current".

Then the Lito X1 starts at 429 € and that’s where things get more interesting:

• 1/1.3" sensor
• 4K/60 HDR
• 10-bit D-Log M
• 42 GB internal storage
• forward LiDAR
• omnidirectional sensing
• same 36 min / optional 52 min battery setup

That’s why I’m a bit confused by DJI’s segmentation right now.
Because once you look at the X1, it starts feeling less like "entry-level" and more like a cheaper version of what a Mini used to be.

Compared with the Neo 2, the difference seems clearer. Neo still feels like the more casual / social / beginner-first drone:

• smaller and lighter feel
• full prop guards
• more of a "flying camera" vibe
• lower-end camera
• cheaper

So to me:

• Neo = easiest / most casual
• Lito = entry-level but still a proper camera drone
• Mini = now moving more into premium compact territory

That’s also why I think the Lito series matters more than it seems at first glance. It feels like DJI is quietly saying that the old cheaper end of the Mini line is no longer really the Mini line.

The Mini 5 Pro is now way more expensive, so if someone wants a sub-250 foldable drone and doesn’t want to spend Mini 5 Pro money, I can easily see the Lito X1 becoming the obvious pick.

So overall my take is:

• Lito 1 looks like a very strong replacement for the old budget Mini slot
• Lito X1 looks like the value sweet spot
• Mini feels like it’s drifting upscale
• Neo still makes sense, but more as a different kind of product than a direct competitor

I added them here if anyone wants to compare the specs side by side:
https://dronecompare.org/#compare=dji-mini-5-pro,dji-neo-2,dji-mini-4k,dji-lito-1,dji-lito-x1