5 papers
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…
Sensing, Communication, and Control Co-design for Energy Efficient Satellite-UAV Networks
Tianhao. Liang, Huahao. Ding, Yuqi. Ping +3
Traditional terrestrial communication infrastructures often fail to collect the timely information from Internet of Thing (IoT) devices in remote areas. To address this challenge,…