Hideaki Uchiyama

Kyushu University, Nara Institute of Science and Technology

Papers

Total Citations

711

H-Index

About

Hideaki Uchiyama is a leading researcher in computer vision and robotics, best known for his foundational work in visual simultaneous localization and mapping (vSLAM). His comprehensive survey, "Visual SLAM algorithms: a survey from 2010 to 2016," has garnered over 700 citations, serving as an essential reference for researchers and practitioners navigating the evolution of vSLAM techniques. This work systematically categorizes and analyzes key algorithms, highlighting their strengths and limitations, and has significantly shaped the direction of autonomous navigation and augmented reality research. Beyond SLAM, Uchiyama has advanced multi-camera systems for human-centric applications, as demonstrated in his 2022 study on "3D pedestrian localization using multiple cameras," which presents a generalizable approach to accurately tracking individuals in complex environments. His research bridges theoretical foundations with practical deployment, emphasizing robustness and scalability. Uchiyama’s contributions continue to influence fields ranging from robotics to smart surveillance, making him a pivotal figure in modern computer vision.