Big Data-Driven UAV Regulatory Compliance: Frameworks, Challenges, and Opportunities

Unmanned aerial vehicles (UAVs) are increasingly integral to various applications, generating vast data like high resolution imagery and environmental metrics, yet they face challenges in real-time regulatory compliance. As a vision paper, UAVSync-BD proposes a conceptual synchronization process, with implementation details, testbeds, and datasets deferred to future research for reproducibility. This position paper conducts a meta-analysis of UAV technology, compares regional regulations, and proposes a reference architecture for a Big Data framework leveraging distributed processing, edge computing, and AI-driven analytics to ensure UAV regulatory compliance. It also discusses open research challenges in the field.