Akira Maekawa
Papers
1
Total Citations
5
H-Index
1
About
Akira Maekawa is a researcher whose work centers on acoustic sensing and signal processing, with a particular focus on position detection methods using spread spectrum sound. His major contribution lies in developing techniques to correct measurement errors caused by environmental factors such as wind and temperature, enhancing the accuracy and reliability of sound-based positioning systems. While his most-cited paper, "Position Detecting Method Using Spread Spectrum Sound-Correction Method of Measurement Error by Compensating Wind and Temperature-" (2010), has garnered 5 citations, this work represents a foundational step in addressing real-world challenges in acoustic localization. Maekawa’s research is notable for its practical applications in robotics, autonomous navigation, and environmental monitoring, where precise spatial awareness is critical. His approach to compensating for atmospheric disturbances demonstrates a keen understanding of the interplay between signal propagation and environmental variables. Though his citation count is modest, Maekawa’s contributions are valuable for students and researchers exploring robust sensing technologies, offering insights into how acoustic methods can be refined for greater accuracy in dynamic conditions.
Research Focus
Key Achievements
Top Papers
- 1