Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation. - Ryusuke Miyamoto; Miho Adachi; Yuta Nakamura; Takeshi Nakajima; Hiroki Ishida; Shingo Kobayashi (CoDIT, 2019)

Vision-Based Road-Following Using Results of Semantic Segmentation for Autonomous Navigation. - Ryusuke Miyamoto; Yuta Nakamura; Miho Adachi; Takeshi Nakajima; Hiroki Ishida; Kazuya Kojima; Risako Aoki; Takuro Oki; Shingo Kobayashi (ICCE-Berlin, 2019)

Intersection Recognition Using Results of Semantic Segmentation for Visual Navigation. - Hiroki Ishida; Kouchi Matsutani; Miho Adachi; Shingo Kobayashi; Ryusuke Miyamoto (ICVS, 2019)

Visual Navigation Using a Webcam Based on Semantic Segmentation for Indoor Robots. - Miho Adachi; Sara Shatari; Ryusuke Miyamoto (SITIS, 2019)

Generation of Datasets for Semantic Segmentation from 3D Scanned Data to Train a Classifier for Visual Navigation. - Hayato Komatsuzaki; Raimu Yokota; Shogo Sakata; Miho Adachi; Ryusuke Miyamoto (ESSE, 2020)

Model-Based Estimation of Road Direction in Urban Scenes Using Virtual LiDAR Signals. - Miho Adachi; Ryusuke Miyamoto (SMC, 2020)

Visual Navigation Based on Semantic Segmentation Using Only a Monocular Camera as an External Sensor. - Ryusuke Miyamoto; Miho Adachi; Hiroki Ishida; Takuto Watanabe; Kouchi Matsutani; Hayato Komatsuzaki; Shogo Sakata; Raimu Yokota; Shingo Kobayashi (J. Robotics Mechatronics, 2020)

Improvement of Visual Odometry Using Classic Features by Semantic Information. - Miho Adachi; Hiroki Ishida; Ryusuke Miyamoto (CoDIT, 2022)

Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References. - Miho Adachi; Hayato Komatsuzaki; Marin Wada; Ryusuke Miyamoto (SMC, 2022)

Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. - Marin Wada; Miho Adachi; Ryusuke Miyamoto (IEEE Big Data, 2023)

Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? - Marin Wada; Hiroaki Sudo; Miho Adachi; Ryusuke Miyamoto (IEEE Big Data, 2023)

Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics. - Miho Adachi; Junfeng Xue; Kazufumi Honda; Marin Wada; Ryusuke Miyamoto (CoDIT, 2023)

Dataset Genreratoin for Semantic Segmentation from 3D Scanned Data Considering Domain Gap. - Marin Wada; Miho Adachi; Yuriko Ueda; Ryusuke Miyamoto (CoDIT, 2023)

Dataset Creation for Segmentation to Enhance Visual Navigation in a Targeted Indoor Environment. - Yuriko Ueda; Marin Wada; Miho Adachi; Ryusuke Miyamoto (SITIS, 2023)

Turning at Intersections Using Virtual LiDAR Signals Obtained from a Segmentation Result. - Miho Adachi; Kazufumi Honda; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments. - Miho Adachi; Kazufumi Honda; Junfeng Xue; Hiroaki Sudo; Yuriko Ueda; Yuki Yuda; Marin Wada; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Data Augmentation for Semantic Segmentation Using a Real Image Dataset Captured Around the Tsukuba City Hall. - Yuriko Ueda; Miho Adachi; Junya Morioka; Marin Wada; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Dataset Creation for Semantic Segmentation Using Colored Point Clouds Considering Shadows on Traversable Area. - Marin Wada; Yuriko Ueda; Junya Morioka; Miho Adachi; Ryusuke Miyamoto (J. Robotics Mechatronics, 2023)

Area-wise Augmentation on Segmentation Datasets from 3D Scanned Data Used for Visual Navigation. - Marin Wada; Yuriko Ueda; Miho Adachi; Ryusuke Miyamoto (CoDIT, 2024)

Personal Identification Based on Joint Motions with Error Correction Using Particle Filter. - Kosuke Aoyagi; Yuki Yuda; Masakazu Ohkoba; Miho Adachi; Ryusuke Miyamoto (ISPACS, 2024)

Personal Identification Based on Joint Motions with Normalization against Size Changes of Targets. - Yuki Yuda; Miho Adachi; Sho Kamiya; Kosuke Aoyagi; Ryusuke Miyamoto (ISPACS, 2024)

Score Calculation with Local and Global Features for Visual Place Recognition. - Iori Ikeda; Miho Adachi; Ryusuke Miyamoto (TENCON, 2024)

Effect of Human-Selected Hard Examples to Improve Accuracy of Semantic Segmentation. - Yuriko Ueda; Marin Wada; Miho Adachi; Ryusuke Miyamoto (DSN-S, 2025)