Doh-Hyoung Kim
Papers
1
Total Citations
4
H-Index
1
About
Doh-Hyoung Kim is a researcher whose work has centered on acoustic signal processing and sound source localization, with a particular focus on enabling mobile platforms—such as robots—to perceive their auditory environment. His most cited paper, "Development of Sound Source Localization System using Explicit Adaptive Time Delay Estimation" (2002), addresses a core challenge in robotics: accurately determining the position of sound sources from microphone array data. Kim’s key contribution lies in advancing time delay estimation techniques that are computationally efficient and robust enough for real-time, mobile applications. By developing an explicit adaptive method, he helped reduce the computational burden and improve the reliability of localization in dynamic settings. Although his citation count is modest, his work represents foundational thinking in the integration of auditory perception into autonomous systems. Kim’s research is particularly relevant for students and engineers interested in sensor fusion, human-robot interaction, and the practical deployment of acoustic sensing in noisy, real-world environments. His focus on adaptive, low-complexity algorithms continues to inform modern approaches to robot audition and spatial audio processing.
Research Focus
Key Achievements
Top Papers
- 1