Various real-time methods for capturing and transmitting dynamic 3D spaces have been proposed, including those based on RGB-D cameras and volumetric capture. However, applying existing methods to outdoor tourist sites remains difficult because maintenance and aesthetic constraints limit sensor placement, and daylight variability complicates processing. We propose a system that combines multiple LiDARs and cameras for live dynamic point cloud capture, and integrates them with pre-captured static point clouds for wide-area 3D visualization. The system sustains 30 fps across wide-area scenes while keeping latency below 100 ms. To mitigate lighting inconsistencies, static point-cloud colors are automatically adjusted to current lighting. The effectiveness of our system is demonstrated through real-world deployment in a tourist site.
@article{arxiv.2508.15398,
title = {A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds},
author = {Takahiro Matsumoto and Masafumi Suzuki and Mariko Yamaguchi and Masakatsu Aoki and Shunsuke Konagai and Kazuhiko Murasaki},
journal= {arXiv preprint arXiv:2508.15398},
year = {2025}
}
Comments
3 pages, 4 figures, submitted to IEEE ISMAR 2025 Posters