{
  "id": 4995038,
  "title": "DNC-IMM: Early Lane-Change Intention Recognition via Neural Calibration Based on Driving Context Information",
  "url": "https://urgent.news/2026/09/01/dnc-imm-early-lane-change-intention-recognition-via-neural",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-01T11:59:00.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.01120v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Early recognition of lane-change intention is essential for proactive decision-making in autonomous driving and advanced driver assistance systems. This paper proposes a Dual Neural-Calibrated Interacting Multiple Model (DNC-IMM) that improves adaptability to driving context while preserving the probabilistic structure and interpretability of a conventional IMM. The proposed method encodes…",
  "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."
}