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Miho Adachi
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2020 – today
- 2023
- [j5]Miho Adachi
, Kazufumi Honda, Ryusuke Miyamoto
:
Turning at Intersections Using Virtual LiDAR Signals Obtained from a Segmentation Result. J. Robotics Mechatronics 35(2): 347-361 (2023) - [j4]Marin Wada, Yuriko Ueda, Junya Morioka, Miho Adachi
, Ryusuke Miyamoto
:
Dataset Creation for Semantic Segmentation Using Colored Point Clouds Considering Shadows on Traversable Area. J. Robotics Mechatronics 35(6): 1406-1418 (2023) - [j3]Miho Adachi
, Kazufumi Honda, Junfeng Xue, Hiroaki Sudo, Yuriko Ueda, Yuki Yuda, Marin Wada, Ryusuke Miyamoto
:
Practical Implementation of Visual Navigation Based on Semantic Segmentation for Human-Centric Environments. J. Robotics Mechatronics 35(6): 1419-1434 (2023) - [j2]Yuriko Ueda, Miho Adachi
, Junya Morioka, Marin Wada, Ryusuke Miyamoto
:
Data Augmentation for Semantic Segmentation Using a Real Image Dataset Captured Around the Tsukuba City Hall. J. Robotics Mechatronics 35(6): 1450-1459 (2023) - [c13]Marin Wada, Miho Adachi, Ryusuke Miyamoto:
Effect of Varied Datasets on Training of a Segmentation Model Used in Visual Navigation. IEEE Big Data 2023: 4350-4355 - [c12]Marin Wada, Hiroaki Sudo, Miho Adachi, Ryusuke Miyamoto:
Does a Dense Point Cloud for Training Data Generation Improve Segmentation Accuracy? IEEE Big Data 2023: 4356-4361 - [c11]Miho Adachi, Junfeng Xue, Kazufumi Honda, Marin Wada, Ryusuke Miyamoto:
Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics. CoDIT 2023: 1705-1710 - [c10]Marin Wada, Miho Adachi, Yuriko Ueda, Ryusuke Miyamoto:
Dataset Genreratoin for Semantic Segmentation from 3D Scanned Data Considering Domain Gap. CoDIT 2023: 1711-1716 - [c9]Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto:
Dataset Creation for Segmentation to Enhance Visual Navigation in a Targeted Indoor Environment. SITIS 2023: 176-183 - 2022
- [c8]Miho Adachi, Hiroki Ishida, Ryusuke Miyamoto:
Improvement of Visual Odometry Using Classic Features by Semantic Information. CoDIT 2022: 1512-1517 - [c7]Miho Adachi, Hayato Komatsuzaki, Marin Wada, Ryusuke Miyamoto:
Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References. SMC 2022: 1180-1185 - 2020
- [j1]Ryusuke Miyamoto, Miho Adachi, Hiroki Ishida, Takuto Watanabe, Kouchi Matsutani, Hayato Komatsuzaki, Shogo Sakata, Raimu Yokota, Shingo Kobayashi:
Visual Navigation Based on Semantic Segmentation Using Only a Monocular Camera as an External Sensor. J. Robotics Mechatronics 32(6): 1137-1153 (2020) - [c6]Hayato Komatsuzaki, Raimu Yokota, Shogo Sakata, Miho Adachi, Ryusuke Miyamoto:
Generation of Datasets for Semantic Segmentation from 3D Scanned Data to Train a Classifier for Visual Navigation. ESSE 2020: 116-119 - [c5]Miho Adachi, Ryusuke Miyamoto:
Model-Based Estimation of Road Direction in Urban Scenes Using Virtual LiDAR Signals. SMC 2020: 4498-4503
2010 – 2019
- 2019
- [c4]Ryusuke Miyamoto, Miho Adachi, Yuta Nakamura, Takeshi Nakajima, Hiroki Ishida, Shingo Kobayashi:
Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation. CoDIT 2019: 1610-1615 - [c3]Ryusuke Miyamoto, Yuta Nakamura, Miho Adachi, Takeshi Nakajima, Hiroki Ishida, Kazuya Kojima, Risako Aoki, Takuro Oki, Shingo Kobayashi:
Vision-Based Road-Following Using Results of Semantic Segmentation for Autonomous Navigation. ICCE-Berlin 2019: 174-179 - [c2]Hiroki Ishida, Kouchi Matsutani, Miho Adachi, Shingo Kobayashi, Ryusuke Miyamoto:
Intersection Recognition Using Results of Semantic Segmentation for Visual Navigation. ICVS 2019: 153-163 - [c1]Miho Adachi, Sara Shatari, Ryusuke Miyamoto:
Visual Navigation Using a Webcam Based on Semantic Segmentation for Indoor Robots. SITIS 2019: 15-21
Coauthor Index
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