Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Kenichi Narioka"'
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 3, p e1006676 (2019)
The plasticity of the human nervous system allows us to acquire an open-ended repository of sensorimotor skills in adulthood, such as the mastery of tools, musical instruments or sports. How novel sensorimotor skills are learned from scratch is yet l
Externí odkaz:
https://doaj.org/article/3f842e9caf934fe88258a31903df5f1d
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11917-11929
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66c8111f92814c531ce229ac636ea295
https://doi.org/10.1109/tits.2021.3108795
https://doi.org/10.1109/tits.2021.3108795
Publikováno v:
ITSC
This study aims to enable the prediction of objects appearing from blind spots, such as outside a field-of-view and regions occluded by other objects. Conventional prediction approaches for traffic scenes primarily predict the objects based on their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b46735f5379663bc7a29fbd3f13fd1
https://doi.org/10.1109/itsc45102.2020.9294443
https://doi.org/10.1109/itsc45102.2020.9294443
Autor:
Xing Liu, Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Takayuki Okatani, Yukimasa Tamatsu
Publikováno v:
CVPR Workshops
One of the practical problems with surrounding view cameras (SMCs) of a vehicle is the degradation of image quality due to obstacles by substances adherent to their lens surface, such as raindrops and mud. Such image degradation could be improved by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0934734840603893a018f87c63aa1f9c
https://doi.org/10.1109/cvprw50498.2020.00115
https://doi.org/10.1109/cvprw50498.2020.00115
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 15, Iss 3, p e1006676 (2019)
PLoS Computational Biology, Vol 15, Iss 3, p e1006676 (2019)
The plasticity of the human nervous system allows us to acquire an open-ended repository of sensorimotor skills in adulthood, such as the mastery of tools, musical instruments or sports. How novel sensorimotor skills are learned from scratch is yet l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2950bae4cba6fc9b417206106406a19f
https://doi.org/10.1371/journal.pcbi.1006676
https://doi.org/10.1371/journal.pcbi.1006676
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110116
ECCV Workshops (2)
ECCV Workshops (2)
Recent advances in computer vision have achieved remarkable performance improvements. These technologies mainly focus on recognition of visible targets. However, there are many invisible targets in blind spots in real situations. Humans may be able t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2908d07143885b3e6bf40962f30e3711
https://doi.org/10.1007/978-3-030-11012-3_42
https://doi.org/10.1007/978-3-030-11012-3_42
Publikováno v:
Intelligent Vehicles Symposium
In this paper, we propose a method to recognize semantic and geometric structure of a traffic scene using monocular cameras. We designed Deep Neural Networks (DNNs) for semantic segmentation and depth estimation and trained them using data collected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5b24ab0892937544a9ada46115a589a
https://doi.org/10.1109/ivs.2018.8500397
https://doi.org/10.1109/ivs.2018.8500397
Autor:
Takayuki Itamochi, Tatsuya Harada, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku, Mikihiro Tanaka
Publikováno v:
ICCV
This paper addresses the generation of referring expressions that not only refer to objects correctly but also let humans find them quickly. As a target becomes relatively less salient, identifying referred objects itself becomes more difficult. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9a44959d93c624dd5e9a4d1780e9362
Publikováno v:
Advanced Robotics. 28:351-365
Studies on decerebrate walking cats have shown that phase transition is strongly related to muscular sensory signals at limbs. To further investigate the role of such signals terminating the stance phase, we developed a biomimetic feline platform. Ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cf4be6e4c9c62dc73650cddb9e544dd
https://doi.org/10.1080/01691864.2013.870495
https://doi.org/10.1080/01691864.2013.870495
Publikováno v:
auto. 61:4-14
In this paper, we investigate how the roll-over characteristic of a passivity-based walking robot with flat feet is created and affected by its musculoskeletal structure, which is easily modeled by an agonistic and antagonistic pair of muscles. We hy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43ff6e56c69f9fa4dc64d5909b893d95
https://doi.org/10.1524/auto.2013.0001
https://doi.org/10.1524/auto.2013.0001