3 papers
cs.CV2026
RadioFormer3D: Weakly Supervised 3D Radio Map Estimation in Low-Altitude Airspace via Generative Modeling
Zheng Fang, Junjie Liu, Kangjun Liu +3
With the emergence of wireless applications in three-dimensional environments, such as the low-altitude airspace and 3D heterogeneous networks, radio map estimation is increasingly…
cs.CV2026
Bridging the Sampling Distribution Shift in Radio Map Estimation: A Trajectory-Aware Paradigm
Feng Qiu, Zheng Fang, Shuhang Zhang +4
Learning-based radio map estimation (RME) plays a critical role in UAV-assisted wireless sensing, enabling tasks such as coverage prediction and network optimization. Most current…
cs.CV2026
UAV-CB: A Complex-Background RGB-T Dataset and Local Frequency Bridge Network for UAV Detection
Shenghui Huang, Menghao Hu, Longkun Zou +6
Detecting Unmanned Aerial Vehicles (UAVs) in low-altitude environments is essential for perception and defense systems but remains highly challenging due to complex backgrounds, ca…