Hirofumi Miyajima
Papers
1
Total Citations
4
H-Index
1
About
Hirofumi Miyajima is a researcher whose work bridges artificial intelligence and autonomous systems, with a particular focus on developing intelligent control mechanisms for self-driving vehicles. His most-cited paper, "Self-driving model car acquiring three-point turn motion by using improved LSTM model" (2021), demonstrates his core contribution: enhancing deep learning architectures to enable complex, real-world driving maneuvers. By refining Long Short-Term Memory (LSTM) networks, Miyajima has advanced the ability of autonomous systems to learn and execute precise, multi-step actions like three-point turns—a challenging task for traditional control algorithms. This work, which has garnered 4 citations, underscores his commitment to practical, scalable AI solutions for robotics and transportation. Miyajima’s research sits at the intersection of machine learning, control theory, and autonomous navigation, offering tangible improvements in how vehicles perceive and interact with their environments. His achievements highlight a dedication to translating theoretical advances into functional prototypes, making his contributions valuable for students and researchers exploring the frontiers of autonomous driving and intelligent system design.
Research Focus
Key Achievements
Top Papers
- 1