{
  "id": 15715,
  "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1847808",
  "title": "Explainable AI analysis of brake control in CARLA through reference and distilled policies",
  "summary": "This paper presents an explainable AI analysis of brake control in CARLA closed-loop driving. Longitudinal braking is studied through a threshold policy, a risk-aware reference policy, and a distilled policy learned from reference rollouts. The framework combines structured traffic-state features, high-fidelity XGBoost surrogates, and SHAP to analyze deployed brake behavior across Town10HD and Town05. Results show that brake generation is consistently dominated by front-vehicle distance, relativ",
  "authors": "Chenghao Wang",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-03T00:00:00.000Z",
  "fetched_at": "2026-08-03T05:10:47.622Z",
  "source_slug": "x-frontiers-in-robotics-and-ai",
  "source_name": "Frontiers in Robotics and AI",
  "source_homepage": "https://www.frontiersin.org/journals/robotics-and-ai",
  "ethics_ai_record_url": "https://ethics.ai/record/15715",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1847808",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}