Daniel Gabriel

Papers

Total Citations

H-Index

About

Daniel Gabriel is a leading researcher in acoustic signal processing, with a primary focus on sound source localization using microphone arrays, particularly for deployment on unmanned aerial vehicles (UAVs). His most influential work, "Development of microphone-array-embedded UAV for search and rescue task" (2017, 53 citations), pioneered a novel system that integrates microphone arrays directly onto UAVs to perform online, outdoor sound source localization. This contribution is critical for enabling drones to autonomously locate human voices or distress signals in noisy, open environments, directly advancing search and rescue operations. Gabriel’s research addresses two fundamental challenges: designing robust microphone array configurations for accurate 2D localization, and overcoming environmental noise and communication limitations in real-world outdoor settings. His follow-up work, "Design and assessment of multiple-sound source localization using microphone arrays" (2019), further refines these methods by tackling the systematic design of multi-array systems. By bridging the gap between laboratory acoustics and field-deployable drone technology, Gabriel’s work has laid essential groundwork for autonomous emergency response systems, making him a key figure in the intersection of robotics, audio engineering, and humanitarian technology.