Tomoaki Harada
Papers
2
Total Citations
8
H-Index
2
About
Tomoaki Harada is a researcher in mobile robotics and computer vision, with a focused interest in autonomous navigation and environmental perception. His primary contributions lie in the development of novel methods for three-dimensional environment modeling using omni-directional cameras mounted on mobile robots. Harada pioneered the application of structure-from-motion (SfM) techniques to imagery captured by these wide-field-of-view cameras, enabling robots to reconstruct surrounding structures from a single moving platform. His 2007 paper on this approach, which has garnered 5 citations, detailed a method for extracting 3D geometry from omni-directional image sequences, addressing key challenges in autonomous locomotion. An earlier 2006 work, with 3 citations, laid the groundwork by proposing a framework for environment observation through SfM with an omni-directional camera. Though his citation counts are modest, Harada’s research represents an important step in making robotic perception more robust and comprehensive, particularly for robots operating in unstructured environments where traditional cameras may have limited fields of view. His work continues to inform advances in spatial understanding for autonomous systems.
Research Focus
Key Achievements
Top Papers
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