U2USim - A UAV Telepresence Simulation Platform with Multi-agent Sensing and Dynamic Environment

Feilin Han, Leping Zhang, Xin Wang, Ke-Ao Zhao, Ying Zhong, Ziyi Su, Tongtong Feng, Wenwu Zhu

Abstract: Unmanned Aerial Vehicles (UAVs) are necessary across diverse domains, including disaster surveillance and wildlife conservation. However, the development and evaluation of UAV-related algorithms often encounter a significant hurdle: the scarcity of authentic training data. In this paper, we introduce U2USim, a telepresence simulation platform with a dynamic environment, serving as a realistic synthetic data generation, performance evaluation, and visualization tool for UAV-to-UAV (U2U) cooperative learning. This paper presents the architecture, features, and capabilities of U2USim. Leveraging Unreal Engine (UE), AirSim APIs, and ROS (Robot Operating System), our platform enables realistic simulations, mirroring real-world conditions and facilitating research in UAV technology.