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Forget lidar. One single camera. Runs in real time & is open source: A streaming 3D model that reconstructs scenes live, at ~20 FPS, over long sequences. End-to-end. Optimization tricks, cleanup steps? Nope. And it beats both streaming and even some offline methods. Perception is becoming software-first. Closer to... show more

Ilir Aliu

56,745 subscribers

112,718 Aufrufe • vor 6 Tagen •via X (Twitter)

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8 Kommentare

Profilbild von Jeremy Longworth

Jeremy Longworthvor 6 Tagen

This is a big step for software-defined perception. A single camera feeding a model that can maintain geometry, pose and long-range context at ~20 FPS changes the economics of giving machines spatial awareness. I wouldn’t write lidar off, but the amount of useful 3D understanding we can now extract from ordinary vision is accelerating fast.

Profilbild von SpiderMonkey ☀️🌳

SpiderMonkey ☀️🌳vor 6 Tagen

This looks awesome, might see if I can slap this on Boop to help navigate the home

Profilbild von Pacer

Pacervor 6 Tagen

In daylight or places that are lit, yes. Cameras are great for mapping things. Sometimes it may be a little innaccurate, depending on its speed and computation. With anything living or moving in the picture, I assume it would look like an expsoure technique swirling around.

Profilbild von ThisMightWork

ThisMightWorkvor 6 Tagen

The 10,000+ frame runs are the interesting part for me. Does revisiting an earlier room tighten the map, or mainly reveal how much it drifted? A “walk out, take a long detour, come back” demo would be useful.

Profilbild von WhatAboutFrank

WhatAboutFrankvor 6 Tagen

INSANEO

Profilbild von Stephane

Stephanevor 6 Tagen

This is great. Love this kind of work.

Profilbild von Cato

Catovor 6 Tagen

if i have mutliple cameras can it merge them?

Profilbild von BreezeOg

BreezeOgvor 6 Tagen

one camera and 20 fps live lidar companies sweating

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