A Low-Latency 3D Live Remote Visualization System for Tourist Sites Integrating Dynamic and Pre-captured Static Point Clouds

TL;DR

This paper presents a low-latency, wide-area 3D live remote visualization system for outdoor tourist sites that combines real-time dynamic point clouds with pre-captured static data, achieving high frame rates and low latency.

Contribution

It introduces a novel system integrating multiple LiDARs and cameras with static point clouds for outdoor 3D visualization, addressing outdoor constraints and lighting variability.

Findings

Achieves 30 fps visualization with latency below 100 ms.

Effectively adjusts static point-cloud colors to current lighting conditions.

Demonstrated successful deployment at a real tourist site.

Abstract

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.