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WALDO: Whereabouts Ascertainment for Low-Lying Detectable Objects

113 点作者 jonbaer8 个月前

9 条评论

throwup2388 个月前
<i>&gt; &#x27;arm&#x2F;mil&#x27; --&gt; this class detects certain types of armored vehicles (very unreliable for now, don&#x27;t use it yet)</i><p>Living near a bunch of the military bases, this is what I really need. My suburban defense system keeps mistaking USPS trucks for APCs.<p>I haven’t received any mail for months.<p>Sidenote: what are the export restriction?
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Arubis8 个月前
Giving credit where it&#x27;s due, this project is almost worth doing just to be able to use that fabulously-well-fit initialism.
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adontz8 个月前
I wonder if these achievements are related to war in Ukraine. Do scientists suddenly receive more funding or something? Or it just happens?<p>Is there a non public version with very reliable arm&#x2F;mil? Is there a version which can reliably distinguish T-80 with and without Z?
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stephanst8 个月前
Hey, thanks for posting. New release is coming tomorrow on HF BTW. AMA
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throwawaymaths8 个月前
I worked for a place where we needed to know with precision where in space a large object was relative to a large area we had full control over. I wonder if this could be used in reverse by say dropping QR codes on the ground, using the algorithm to track relative positions and doing the reverse operation from there
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ulnarkressty8 个月前
What would be legitimate civilian uses for this technology apart from [0]? After the 10k drone swarm the other day and the pager attacks all I can think of is slaughterbots, which is genuinely freaking me out.<p>[0] - <a href="https:&#x2F;&#x2F;xkcd.com&#x2F;2128&#x2F;" rel="nofollow">https:&#x2F;&#x2F;xkcd.com&#x2F;2128&#x2F;</a>
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Jerrrrrrry8 个月前
This is a perfect module for an ideal proactive security system, thank you.
swayvil8 个月前
So it gives us, for all the objects in view, a unique id, location, location history, various alerts.<p>What else? Any thing-description?<p>If an object leaves the view and re-enters, does it get the same id?
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Grosvenor8 个月前
Cool. But doesn&#x27;t include the training data. So can&#x27;t reproduce it. :-(