Connectionists: Call for Papers: Special Issue on "Visual Language Models and Large Language Models for Unmanned Aerial Vehicles" - Deadline: 31 December 2024

["J. de Curtò"]

Dear Colleagues, We are excited to announce a Special Issue of MDPI Drones titled "Visual Language Models and Large Language Models for Unmanned Aerial Vehicles," with a submission deadline of 31 December 2024. We invite you to contribute your research to this Special Issue, which aims to explore the integration of Visual Language Models (VLMs) and Large Language Models (LLMs) into UAVs. Link: https://www.mdpi.com/journal/drones/special_issues/NXAHUFC2BP Special Issue Information The rapid advancements in artificial intelligence, particularly in the domains of computer vision and natural language processing, have created new possibilities for enhancing the capabilities of Unmanned Aerial Vehicles (UAVs). This Special Issue focuses on the application, challenges, and future directions of integrating VLMs and LLMs into UAVs. Visual Language Models have demonstrated remarkable performance in tasks such as object detection, image captioning, and visual question answering, enabling UAVs to perceive and understand their surroundings with unprecedented accuracy and efficiency. Large Language Models, on the other hand, have shown impressive capabilities in natural language understanding, generation, and reasoning. Incorporating LLMs into UAVs can facilitate seamless human–machine interaction, enabling users to control and communicate with drones using natural language commands. Topics of Interest We welcome original research articles, review papers, and case studies on the following topics (but not limited to): Object detection and tracking using VLMs in UAVs Semantic segmentation and scene understanding for enhanced UAV navigation Visual question answering and visual dialog systems for UAV–human interaction Natural language processing techniques for UAV mission planning and execution Integration of VLMs and LLMs for autonomous UAV decision making Few-shot learning and transfer learning approaches for adapting VLMs and LLMs to UAV-specific tasks Efficient deployment of VLMs and LLMs on resource-constrained UAV platforms Real-time performance optimization techniques for VLMs and LLMs in UAVs Robustness and reliability of VLMs and LLMs in complex and dynamic environments Ethical considerations and safety measures for deploying VLMs and LLMs in UAVs Submission Information Manuscripts should be submitted online at MDPI Submission Portal by registering and logging in. Once registered, use the previous webpage link to submit your manuscript. The deadline for manuscript submissions is 31 December 2024. All submissions that pass pre-check are peer-reviewed, and accepted papers will be published continuously in the journal and listed together on the Special Issue website. Guest Editors Prof. Dr. Carlos Tavares Calafate Prof. Dr. I. de Zarzà Prof. Dr. J. de Curtò We look forward to receiving your submissions and contributing to the advancement of intelligent and autonomous UAV systems powered by VLMs and LLMs. Best regards, Prof. Dr. Carlos Tavares Calafate Prof. Dr. I. de Zarzà Prof. Dr. J. de Curtò Guest Editors, MDPI Drones MDPI Drones, Impact Factor (2023): 4.4, Q1: Remote Sensing. 5-Year Impact Factor: 4.8 CiteScore (2023) : 5.6, Q1: Aerospace Engineering -- Professor Dr. de Curtò, J. Recognised Researcher, BARCELONA Supercomputing Center - Centro Nacional de Supercomputación, Plaça Eusebi Güell, 1-3 Barcelona, 08034 Profesor Asociado, Universidad Pontificia Comillas, Alberto Aguilera, 23 Madrid, 28015 e-mail: jdecurto at icai.comillas.edu web: https://web.comillas.edu/profesor/jdecurto
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