7 papers
Towards Effcient Low Altitude Sensing: A Dual Heterogeneous Graph Learning Method for UAV Task Allocation
Guangyu Lei, Tianhao Liang, Bingyan Xie +1
With the development of low altitude intelligent systems, multiple unmanned aerial vehicles (UAVs) can collaboratively execute more complex tasks. Conventional task allocation meth…
UAV Control and Communication Enabled Low-Altitude Economy: Challenges, Resilient Architecture and Co-design Strategies
Tianhao Liang, Nanchi Su, Yuqi Ping +6
The emerging low-altitude economy has catalyzed the large-scale deployment of unmanned aerial vehicles (UAVs), driving a paradigm shift in environment monitoring, logistics, and em…
LLM-Enabled Low-Altitude UAV Natural Language Navigation via Signal Temporal Logic Specification Translation and Repair
Yuqi Ping, Huahao Ding, Tianhao Liang +6
Natural language (NL) navigation for low-altitude unmanned aerial vehicles (UAVs) offers an intelligent and convenient solution for low-altitude aerial services by enabling an intu…
Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition
Guangyu Lei, Tianhao Liang, Yuqi Ping +9
The rapid development of the low-altitude economy emphasizes the critical need for effective perception and intent recognition of non-cooperative unmanned aerial vehicles (UAVs). T…
Relative Localization of UAV Swarms in GNSS-Denied Conditions
Guangyu Lei, Yuqi Ping, Tianhao Liang +2
Relative localization of unmanned aerial vehicle (UAV) swarms in global navigation satellite system (GNSS) denied environments is essential for emergency rescue and battlefield rec…
Multimodal Large Language Models-Enabled UAV Swarm: Towards Efficient and Intelligent Autonomous Aerial Systems
Yuqi Ping, Tianhao Liang, Huahao Ding +9
Recent breakthroughs in multimodal large language models (MLLMs) have endowed AI systems with unified perception, reasoning and natural-language interaction across text, image and…