Dynamic Real-Time Spatio-Temporal Acquisition and Rendering in Adverse Environments

This paper introduces NausicaaVR, a novel hardware/software system designed to acquire and render intricate 3D environments, with a particular emphasis on challenging and adverse contexts. In doing so, we navigate the complex landscape of system calibration and rendering, while seamlessly integrating data from multiple sensors. We explore the distinctive challenges inherent in adverse environments, juxtaposing them against conventional automotive scenarios. Through a comprehensive exposition of all constituent elements of the NausicaaVR system, we offer transparent insights into the encountered obstacles and the intricate decisions that were instrumental in surmounting them. This study seeks to illuminate the developmental trajectory of NausicaaVR and analogous systems, thereby furnishing a repository of knowledge and understanding poised to benefit future research and the pragmatic implementation of such cutting-edge technologies.