Mizuho Wakabayashi

Kumamoto University

Papers

3

Total Citations

76

H-Index

3

About

Mizuho Wakabayashi is a pioneering researcher in drone audition and disaster robotics, whose work has fundamentally advanced how unmanned aerial vehicles (UAVs) perceive and interact with acoustic environments. Her primary research focuses on integrating microphone arrays into drones for real-time sound source localization, enhancement, and visualization—critical capabilities for search-and-rescue missions where visual sensors fail due to darkness or occlusion. Wakabayashi’s most influential contribution, the development of a microphone-array-embedded UAV (53 citations), established a foundational framework for online outdoor sound source localization, enabling drones to detect and track human voices or distress signals from the sky. She further refined this approach with a data association method that estimates multiple sound source positions simultaneously (15 citations), significantly improving multi-target tracking in cluttered disaster zones. Her work on real-time visualization of sound source positions (8 citations) bridges the gap between raw acoustic data and actionable intelligence for first responders. By addressing the inherent challenges of drone noise interference and robust communication, Wakabayashi has transformed drones from purely visual tools into multi-sensory lifesaving platforms, earning recognition as a leader in acoustic robotics for humanitarian applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
76
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Development of microphone-array-embedded UAV for search and rescue task
53 citations · 2017
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Kumamoto University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago