Intelligent spoofing poses a critical threat to unmanned aerial vehicle (UAV) communications by corrupting synchronization and channel estimation while evading power-based detection. This paper presents IDTD-RL, a risk-sensitive reinforcement learning framework for adaptive anti-spoofing defense in OFDM-based UAV syste...
Hang Zhang, Wen-Rui Ding, Yu-Feng Wang et al.· IEEE Transactions on Informa...· 1 citation
Direction-of-arrival (DOA) estimation in complex electromagnetic environments plays a critical role in target detection and localization. However, achieving accurate estimation remains a challenge under adverse and non-ideal conditions. We propose a novel self-supervised learning and adversarial augmentation complex-va...
Unmanned aerial vehicle (UAV) multimodal perception integrates visible (RGB), infrared (IR), synthetic aperture radar (SAR), and depth sensors for scene understanding under diverse conditions. However, differences in optics, resolution, and mounting often limit practical systems to global or image-center alignment. Aft...
Jing-Pu Yang, Deming Tang, Yi-Lin Sun et al.· 1 citation
The Hash-Atlas network is proposed, which reformulates 3D scene editing as operations on 2D atlas images, thereby achieving a workflow decoupling of the 2D editing and 3D reconstruction processes.
Shuangkang Fang, Yu-Feng Wang, Yi-Hsuan Tsai et al.· 1 citation
SAP-Nav is presented, a fully online, zero-shot framework that supports both hierarchical and standard category-level OVON without task-specific training or precomputed scene maps and is designed for hierarchical OVON without task-specific training or precomputed scene maps.
Xuetong Pei, Jian Liu, Vidura Munasinghe et al.· 1 citation
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