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3DGS spatial classification prototype uses Jev to judge indoor/outdoor and passability in under a second

A prototype renders 3DGS with PlayCanvas, runs segmentation and object detection in the browser via LiteRT.js, and uses Jev to decide indoor/outdoor, vegetation presence, and passability in under one second.

ダックビル@STUDIO DUCKBILL LLC
@DuckbillStudioArchived 2026.09.21Originally posted 2026.09.20
3DGS spatial classification prototype uses Jev to judge indoor/outdoor and passability in under a second (image 1 of 2)
3DGS spatial classification prototype uses Jev to judge indoor/outdoor and passability in under a second (image 2 of 2)
ダックビル@STUDIO DUCKBILL LLC @DuckbillStudioOriginally posted 2026.09.20
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3DGS空間の「屋内/屋外」「植生の有無」「通行可否」などを、1秒未満で判定するプロトタイプを作りました。 TypeSafe AIの「Jev」を使った高速な空間分類です。 PlayCanvas(3DGS描画) ⬇️ LiteRT.js(ブラウザ内でセグメンテーション+物体検出) ⬇️ Jev(判定) ⬇️ 結果表示

x.com/duckbillstudio/status/2101582597591834742Archived 2026.09.21 10:28