Seiya Maeda

Papers

Total Citations

H-Index

About

Dr. Seiya Maeda is a leading researcher at the forefront of autonomous driving systems, specializing in heterogeneous computing platforms and embedded system-on-chip (SoC) architectures. His most influential work, "Towards Heterogeneous Computing Platforms for Autonomous Driving" (2019), with 24 citations, addresses the critical trade-off between general-purpose processing power and energy efficiency in high-end embedded platforms. This paper introduces a landmark national project launched in April 2019, focusing on the research and development of SoC and software platforms specifically designed for autonomous vehicles. Dr. Maeda’s contributions are pivotal in solving the performance-versus-power dilemma that has long constrained real-time autonomous driving applications. By proposing novel heterogeneous computing solutions, he enables more efficient processing of complex sensor data and decision-making algorithms. His work has significant implications for the automotive industry, pushing the boundaries of what is possible in embedded AI systems. Dr. Maeda’s research continues to shape the future of safe, energy-efficient autonomous driving technology.