Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Kenji Koide"'
Autor:
Taku Okawara, Kenji Koide, Shuji Oishi, Masashi Yokozuka, Atsuhiko Banno, Kentaro Uno, Kazuya Yoshida
Publikováno v:
IEEE Access, Vol 12, Pp 134728-134738 (2024)
Tunnels and long corridors are challenging environments for LiDAR-based odometry estimation algorithms because a LiDAR point cloud should degenerate (i.e., point cloud matching cannot work properly) in such environments. To tackle point cloud degener
Externí odkaz:
https://doaj.org/article/98710a2bfda44ea78327235e6ef6b043
Autor:
Mitsuru Kubo, Ryoichi Nakazawa, Kazuhiro Akiyama, Yoshiho Tsunoda, Kazumasa Kimura, Kenji Koide, Yasuhisa Matsushima, Shinji Hasegawa, Koichi Ikeda, Nakanobu Azuma
Publikováno v:
Renal Replacement Therapy, Vol 6, Iss 1, Pp 1-10 (2020)
Abstract Background Polysulfone (PS) dialyzers are most frequently used worldwide for chronic renal failure patients and they are produced by several manufacturers. Despite using the same materials, differences in biocompatibility among PS dialyzers
Externí odkaz:
https://doaj.org/article/c3c276f6a69f43a1b1ca179203071a1e
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
It is important to measure and analyze people behavior to design systems which interact with people. This article describes a portable people behavior measurement system using a three-dimensional LIDAR. In this system, an observer carries the system
Externí odkaz:
https://doaj.org/article/f884323a293046c4b82675f8b64d99d6
Publikováno v:
IEEE Robotics and Automation Letters. 6:8591-8598
This paper presents a real-time 3D LiDAR mapping framework based on global matching cost minimization. The proposed method constructs a factor graph that directly minimizes matching costs between frames over the entire map, unlike pose graph-based ap
Publikováno v:
IEEE Robotics and Automation Letters. 6:40-47
This letter presents an interactive graph SLAM framework with a 3D LIDAR. This framework allows the user to interactively correct a 3D environmental map generated by an automatic SLAM system. By optimizing a pose graph consisting of pose constraints
Publikováno v:
IEEE Robotics and Automation Letters. 5:5229-5236
We present a monocular camera localization technique for a three-dimensional prior map. Visual localization has been attracting considerable attention as a lightweight and widely available localization technique for any mobilities; however, it still
Autor:
Koichi Ikeda, Kenji Koide, Nakanobu Azuma, Mitsuru Kubo, Kazuhiro Akiyama, Ryoichi Nakazawa, Yasuhisa Matsushima, Shinji Hasegawa, Yoshiho Tsunoda, Kazumasa Kimura
Publikováno v:
Renal Replacement Therapy, Vol 6, Iss 1, Pp 1-10 (2020)
Background Polysulfone (PS) dialyzers are most frequently used worldwide for chronic renal failure patients and they are produced by several manufacturers. Despite using the same materials, differences in biocompatibility among PS dialyzers have been
Autor:
Gloria Beraldo, Kenji, Koide, Amedeo, Cesta, Satoshi, Hoshino, Jun, Miura, Matteo, Salvà, Emanuele Menegatti
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030958916
Università degli Studi di Padova-IRIS
Università degli Studi di Padova-IRIS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea6921ac4d9cba0c1766d111ea1abf73
http://hdl.handle.net/11577/3402574
http://hdl.handle.net/11577/3402574
This paper presents a LiDAR odometry estimation framework called Generalized LOAM. Our proposed method is generalized in that it can seamlessly fuse various local geometric shapes around points to improve the position estimation accuracy compared to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::864614d22e356736cf92d7e79ebe0380
This study presents a framework for capturing human attention in the spatio-temporal domain using eye-tracking glasses. Attention mapping is a key technology for human perceptual activity analysis or Human-Robot Interaction (HRI) to support human vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a1f4df9cbc7bca1200f66d8a8e5159
http://arxiv.org/abs/2107.03606
http://arxiv.org/abs/2107.03606