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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 次观看 • 6 天前 •via X (Twitter)

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8 条评论

Jeremy Longworth 的头像

Jeremy Longworth6 天前

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.

SpiderMonkey ☀️🌳 的头像

SpiderMonkey ☀️🌳6 天前

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

Pacer 的头像

Pacer6 天前

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.

ThisMightWork 的头像

ThisMightWork6 天前

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.

WhatAboutFrank 的头像

WhatAboutFrank6 天前

INSANEO

Stephane 的头像

Stephane6 天前

This is great. Love this kind of work.

Cato 的头像

Cato6 天前

if i have mutliple cameras can it merge them?

BreezeOg 的头像

BreezeOg6 天前

one camera and 20 fps live lidar companies sweating

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