{
  "id": 6528,
  "url": "https://arxiv.org/abs/2604.00168v1",
  "title": "Neural-Assisted in-Motion Self-Heading Alignment",
  "summary": "Autonomous platforms operating in the oceans require accurate navigation to successfully complete their mission. In this regard, the initial heading estimation accuracy and the time required to achieve it play a critical role. The initial heading is traditionally estimated by model-based approaches employing orientation decomposition. However, methods such as the dual vector decomposition and optimized attitude decomposition achieve satisfactory heading accuracy only after long alignment times. ",
  "authors": "Zeev Yampolsky, Felipe O. Silva, Adriano Frutuoso, Itzik Klein",
  "category": "research",
  "topics": "safety-alignment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-03-31T19:16:56.000Z",
  "fetched_at": "2026-07-14T16:32:33.101Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/6528",
  "original_url": "https://arxiv.org/abs/2604.00168v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}