Dressing the Future: Computer Vision in 3D LiDAR-Sensed Environments

Vinicius Godoy, José Matheus G. Rodrigues, Matheus Ferreira Silva, Felipe Augusto Pereira de Figueiredo, Arismar Cerqueira Sodré Junior

DOI: 10.14209/sbrt.2025.1571157247

Evento: XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2025)

Keywords: 3D LiDAR Reflectivity Chromatic Spectrum B5G

Abstract

This paper analyzes the influence of reflectivity in 3D LiDAR and the impact of color differences on the identification of people and distant objects. Experiments were conducted using high-precision LiDAR sensors to measure the reflective response of different materials and clothing colors under various distances from the 3D sensor. The results showed that high-reflectivity colors, such as white and yellow, maintain high return efficiency of the LiDAR beam. In contrast, dark colors, such as black and navy blue, absorb more light and consequently degrade the quality of the reflected signal. The findings highlight the importance of color selection for B5G (Beyond 5G) applications, such as in 6G networks, autonomous mobility, surveillance, and pattern recognition in urban environments. These results provide practical guidance for enhancing human target visibility in LiDAR-based remote sensing systems.

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