LiDAR提升人群管理精度与隐私保护，适用于复杂环境下的实时监控。
LiDAR for Crowd Management: Applications, Benefits, and Future Directions
- 利用3D点云实现人群检测与跟踪，优于传统摄像头
- 在雨雪天气下仍保持高精度，隐私保护更优
- 适合公共安全场景，推动智能安防系统落地
激光雷达（LiDAR）技术在人群管理中具有显著优势，相比其他监测技术，在隐私保护、恶劣天气适应性及精准三维建图方面表现突出。本文构建了人群管理的通用分类体系，涵盖人群检测、计数、追踪和行为分类四大任务，并给出各任务的LiDAR应用实例。同时指出当前挑战：专用数据集稀缺、多传感器融合需求、人工智能集成难度以及点云处理计算负担。文章为面向公共安全的智能人群管理解决方案提供了可操作的指导。
原文摘要 · Abstract (English)
Light Detection and Ranging (LiDAR) technology offers significant advantages for effective crowd management. This article presents LiDAR technology and highlights its primary advantages over other monitoring technologies, including enhanced privacy, performance in various weather conditions, and precise 3D mapping. We present a general taxonomy of four key tasks in crowd management: crowd detection, counting, tracking, and behavior classification, with illustrative examples of LiDAR applications for each task. We identify challenges and open research directions, including the scarcity of dedicated datasets, sensor fusion requirements, artificial intelligence integration, and processing needs for LiDAR point clouds. This article offers actionable insights for developing crowd management solutions tailored to public safety applications.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。