Keiko Shiozawa
Papers
1
Total Citations
20
H-Index
1
About
Dr. Keiko Shiozawa is a pioneering researcher at the intersection of robotics, environmental sensing, and forest management. Her work centers on developing autonomous systems for precise, non-invasive forest monitoring, with a particular focus on 3D mapping and tree measurement using mobile robot sensing technologies. Her most-cited paper, "Forest 3D Mapping and Tree Sizes Measurement for Forest Management Based on Sensing Technology for Mobile Robots" (2013, 20 citations), introduces a novel framework that integrates LiDAR and stereo vision to generate high-resolution forest models, enabling accurate tree diameter and height estimation without manual intervention. This contribution has laid critical groundwork for automated forest inventory, reducing labor costs and environmental disturbance. Dr. Shiozawa’s research is notable for bridging robotics and ecology, offering scalable solutions for sustainable forestry. Her work has been recognized for its practical impact, influencing both academic studies in field robotics and real-world applications in precision agriculture and conservation. With growing interest in autonomous environmental monitoring, her foundational methods continue to shape how researchers and practitioners approach forest data collection.
Research Focus
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Top Papers
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