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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.27663 |
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| _version_ | 1866915897497616384 |
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| author | Khanfor, Abdullah Zaghouani, Chaima Ghazzai, Hakim Alsharoa, Ahmad Setti, Gianluca |
| author_facet | Khanfor, Abdullah Zaghouani, Chaima Ghazzai, Hakim Alsharoa, Ahmad Setti, Gianluca |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_27663 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | LiDAR for Crowd Management: Applications, Benefits, and Future Directions Khanfor, Abdullah Zaghouani, Chaima Ghazzai, Hakim Alsharoa, Ahmad Setti, Gianluca Computer Vision and Pattern Recognition 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. |
| title | LiDAR for Crowd Management: Applications, Benefits, and Future Directions |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.27663 |