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Description

This presentation examines the practical reliability of Remote ID for real-time UAS surveillance and highlights several operational limitations that affect tracking continuity, detection confidence, and airspace awareness. The study presents a data-driven evaluation framework developed to analyze high frequency Remote ID observations alongside external UAS detection and telemetry data streams. The framework incorporates second-level temporal synchronization, geospatial matching and event-driven detection analysis to assess how inconsistencies in Remote ID broadcasts influence monitoring performance. The goal of this work is to provide government, industry, and academic stakeholders with a practical assessment of the current capabilities and limitations of Remote ID as the UAS ecosystem continues to expand.

DOI

10.5281/zenodo.23403669

Publication Date

10-14-2026

Document Type

Poster

City

Grand Forks, ND

Keywords

Remote ID, UAS, Counter-UAS, Airspace Awareness, Detection Performance, UAS Surveillance

Comments

Presented at UAS Summit & Expo 2026, Grand Forks, ND, October 14-15, 2026.

Operational Gaps in Remote ID: Implications for Real-Time UAS Surveillance and Airspace Safety

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