Problem
Research questions and friction points this paper is trying to address.
LiDAR
crowd management
point cloud processing
sensor fusion
behavior classification
LiDAR for Crowd Management: Applications, Benefits, and Future Directions
🤖 AI Summary
Traditional crowd management approaches face limitations in privacy preservation, all-weather robustness, and three-dimensional perception. This work systematically reviews the application of LiDAR in four core tasks—crowd detection, counting, tracking, and behavior classification—and, for the first time, establishes a LiDAR-driven crowd management framework and task taxonomy tailored for public safety. By integrating 3D point cloud perception, multimodal sensor fusion, AI algorithms, and privacy-preserving mechanisms, the study identifies key challenges including data scarcity, point cloud processing complexity, and system integration hurdles. It further outlines promising future research directions, offering both theoretical foundations and practical pathways toward intelligent crowd management systems that are highly accurate, robust across diverse conditions, and inherently privacy-friendly.
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
LiDAR
crowd management
3D point cloud
sensor fusion
behavior classification
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