{
  "id": 18258980,
  "title": "Occlusion for Free: Detecting Occlusion from the Disagreement Between Two Monocular Distance Cues",
  "url": "https://urgent.news/2026/11/04/occlusion-for-free-detecting-occlusion-from-the-disagreement-between",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T18:49:13.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06899v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Knowing that a pedestrian is occluded is useful to a robot even when the detector cannot recover the hidden pixels, but occlusion estimators are normally trained on occlusion annotations that deployment settings rarely have. We show that occlusion can be read off two distance estimates a camera-only pipeline already computes. Apparent height is largely unchanged by occlusion, because the detected…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}