{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T07:00:39Z","timestamp":1789887639568,"version":"4.0.1"},"reference-count":0,"publisher":"Scilight Press Pty Ltd","issue":"3","license":[{"start":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T00:00:00Z","timestamp":1789862400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.sciltp.com"],"crossmark-restriction":true},"short-container-title":[],"abstract":"<jats:p>The rapid development of large language models (LLMs) has expanded the capabilities of autonomous unmanned aerial vehicle (UAV) systems in naturallanguage instruction understanding, multimodal perception, and decision-making. This survey reviews the technical evolution, system architectures, and deployment challenges of LLM-driven UAVs across perception, planning, control, multi-agent coordination, and edge\u2013cloud computing. Beyond cataloguing representative systems, we separate semantic-reasoning latency, control timing, power, task outcomes, hardware, and validation settings to avoid misleading cross-platform comparisons. We further analyze Sim2Real gaps, intermittent connectivity, hallucination-induced action risk, cyberattacks, and privacy leakage. In this survey, a semantically adaptive safety certificate denotes a runtime-verifiable CBF\/MPC\/STL constraint whose safe set or margin is parameterized by grounded task and scene semantics but enforced by a deterministic safety layer outside the generative model. Future directions emphasize hierarchical lightweight reasoning, communication-aware autonomy, formally bounded semantic adaptation, and airworthiness-oriented assurance.<\/jats:p>","DOI":"10.53941\/ic.2026.100011","type":"journal-article","created":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T06:03:13Z","timestamp":1789884193000},"update-policy":"https:\/\/doi.org\/10.53941\/sciltp.crossmark.policy","source":"Crossref","is-referenced-by-count":0,"title":["Large Language Model-Driven Autonomous UAV Systems: Technical Evolution, Core Architectures, and Critical Challenges"],"prefix":"10.53941","volume":"2","author":[{"given":"Meijie","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"32106","published-online":{"date-parts":[[2026,9,20]]},"container-title":["Intelligence &amp; Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/media.sciltp.com\/articles\/2608004995\/2608004995.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/media.sciltp.com\/articles\/2608004995\/2608004995.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T06:03:14Z","timestamp":1789884194000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.sciltp.com\/journals\/ic\/articles\/2608004995"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,20]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,9,20]]}},"URL":"https:\/\/doi.org\/10.53941\/ic.2026.100011","relation":{},"ISSN":["3083-3485"],"issn-type":[{"value":"3083-3485","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,20]]}}}