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Conference paper
A Visual Question Answering-based Object Detection Framework using a Team of Multi-Agent UAVs
Florida Conference on Recent Advances in Robotics (FCRAR 2025), 38th (Dania Beach, Florida, USA, 05/08/2025–05/09/2025)
05/09/2025
Abstract
This paper presents an autonomous multi-agent unmanned aerial vehicle (UAV) system designed to perform object detection through Visual Question Answering (VQA) using aerial imagery. The system utilizes an entropy-based distributed behavior model to coordinate UAV movements toward designated
waypoints. A VQA model is used to analyze aerial footage for detection of objects of interest. The study investigates the impact of various distributed behavior configurations, including number of UAVs, UAV formations, flight altitude, and separation distance. After analysis, a final optimized configuration for maximizing surface area coverage and VQA model performance were found. These findings contribute to the development of aerial systems capable of collaborative visual reasoning in complex environments.
Details
- Title
- A Visual Question Answering-based Object Detection Framework using a Team of Multi-Agent UAVs
- Resource Type
- Conference paper
- Conference
- Florida Conference on Recent Advances in Robotics (FCRAR 2025), 38th (Dania Beach, Florida, USA, 05/08/2025–05/09/2025)
- Number of pages
- 5
- Copyright
- Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
- Identifiers
- 99381348025206600
- Academic Unit
- Intelligent Systems and Robotics
- Language
- English