Junya Morioka
Papers
3
Total Citations
15
H-Index
3
About
Junya Morioka is a researcher advancing the fields of autonomous navigation, semantic segmentation, and 3D environmental reconstruction. His work focuses on enabling robots and virtual reality systems to understand and map complex real-world environments with high precision. Morioka’s key contributions include the creation of novel datasets for semantic segmentation, particularly addressing challenges like shadow detection on traversable areas to improve autonomous robot movement. His 2023 paper on dataset creation for colored point clouds has garnered 7 citations, while his work on data augmentation using real images captured around Tsukuba City Hall (5 citations) provides critical resources for outdoor scene understanding under varying conditions. Notably, his 2024 research on 3D structure estimation of room environments combines semantic segmentation with model fitting to accurately reflect indoor spaces in virtual reality, supporting applications in architecture, interior design, and robotics. By tackling the labor-intensive process of dataset creation and enhancing scene understanding, Morioka’s work directly impacts the reliability and adaptability of autonomous systems and VR technologies.
Research Focus
Key Achievements
Top Papers
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