{
  "id": 6682531,
  "title": "Lightweight LiDAR-Based Cone Detection Framework Using Random Forest for Formula Student Driverless",
  "url": "https://urgent.news/2026/09/10/lightweight-lidar-based-cone-detection-framework-using-random-forest",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-10T13:28:53.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.11527v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reliable, low-latency perception is crucial for Formula Student Driverless vehicles, yet many existing pipelines rely on deep learning and multi-sensor fusion, often requiring GPU acceleration. This paper presents a lightweight LiDAR-only perception pipeline tailored for CPU execution, combining ground removal, IMU-based motion compensation, DBSCAN clustering, and geometric feature-based Random…",
  "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."
}