Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine

Fuente: arXiv
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Hauptverfasser: Huang, Kongwu, Mu, Shiyi, Jiang, Jun, Gao, Yuan, Xu, Shugong
Format: Preprint
Veröffentlicht: 2025
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author Huang, Kongwu
Mu, Shiyi
Jiang, Jun
Gao, Yuan
Xu, Shugong
author_facet Huang, Kongwu
Mu, Shiyi
Jiang, Jun
Gao, Yuan
Xu, Shugong
contents Scaling laws have achieved success in LLM and foundation models. To explore their potential in ISAC research, we propose Great-X. This single-engine multimodal data twin platform reconstructs the ray-tracing computation of Sionna within Unreal Engine and is deeply integrated with autonomous driving tools. This enables efficient and synchronized simulation of multimodal data, including CSI, RGB, Radar, and LiDAR. Based on this platform, we construct an open-source, large-scale, low-altitude UAV multimodal synaesthesia dataset named Great-MSD, and propose a baseline CSI-based UAV 3D localization algorithm, demonstrating its feasibility and generalizability across different CSI simulation engines. The related code and dataset will be made available at: https://github.com/hkw-xg/Great-MCD.
format Preprint
id arxiv_https___arxiv_org_abs_2507_08716
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
Huang, Kongwu
Mu, Shiyi
Jiang, Jun
Gao, Yuan
Xu, Shugong
Computer Vision and Pattern Recognition
Scaling laws have achieved success in LLM and foundation models. To explore their potential in ISAC research, we propose Great-X. This single-engine multimodal data twin platform reconstructs the ray-tracing computation of Sionna within Unreal Engine and is deeply integrated with autonomous driving tools. This enables efficient and synchronized simulation of multimodal data, including CSI, RGB, Radar, and LiDAR. Based on this platform, we construct an open-source, large-scale, low-altitude UAV multimodal synaesthesia dataset named Great-MSD, and propose a baseline CSI-based UAV 3D localization algorithm, demonstrating its feasibility and generalizability across different CSI simulation engines. The related code and dataset will be made available at: https://github.com/hkw-xg/Great-MCD.
title Unreal is all you need: Multimodal ISAC Data Simulation with Only One Engine
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2507.08716