Coordinating Unmanned Aerial Vehicle (UAV) swarms in structured low-altitude airspace is difficult because traffic is confined to layered corridors with lane-level motion, finite inter-layer ramps, time-varying demand, and communication hotspots around merging zones. Here, large-scale coordination refers to high-densit...
Xiang-Yu Hong, Kai Xiong, Yu-Ting Wang et al.· IEEE International Symposium...· 0 citations
The efficacy of unmanned aerial vehicle (UAV) swarm cooperative sensing fundamentally depends on threedimensional (3D) formation geometry, which governs target observability, estimation accuracy, and inter-node connectivity. In existing literature, formation configuration has been frequently treated as a secondary impl...
Kai Xiong, Jin-Yue Yang, Yi-Zhe Zhao et al.· 2026 IEEE/CIC International...· 0 citations
The proposed formation control framework can jointly support real-time formation reconfiguration and reliable communication in corridor-ramp structured airspace and achieves the best delay--loss--throughput tradeoff over fixed TDMA and WiFi MAC.
Kai Xiong, Xing-Yu Wu, Ba Zhang et al.· arXiv.org· 0 citations
Large Language Models (LLMs) have been increasingly applied to intelligent vehicular systems for tasks such as scene understanding, intent reasoning, and natural language interaction. However, their inference demands exceed onboard processing capabilities, making low-latency on-vehicle inference impractical. Although e...
Xiwen Liao, Supeng Leng, Ke Zhang et al.· IEEE Transactions on Network...· 0 citations
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