Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Haruya Kyutoku"'
Publikováno v:
International Journal of Automotive Engineering, Vol 13, Iss 2, Pp 97-102 (2022)
We research parking scene reconstruction by a deep neural network (DNN) using a millimeter-wave radar. High accuracy can be achieved for the training dataset; however, it is degraded on untrained data. It is an unavoidable challenge of generalizabili
Externí odkaz:
https://doaj.org/article/14f5fdeea84d4099b1e5f431256eb735
Publikováno v:
MVA
An Around View Monitoring (AVM) system is widely used to allow a driver to watch the situation around a car. The AVM image is generated by image distortion correction and viewpoint transformation for images captured by wide view-angle cameras install
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d5dd852796dfd07d59e0ac130302470
https://doi.org/10.23919/mva51890.2021.9511398
https://doi.org/10.23919/mva51890.2021.9511398
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Local image features matching is a useful technique for 3D reconstruction and localization in ITS field. In recent years, machine learning-based local feature matching methods have been proposed. However, it is impractical to manually generate the gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a8773ceb2f3bcaf5b57429a559a8c3d
https://doi.org/10.1109/iv48863.2021.9575947
https://doi.org/10.1109/iv48863.2021.9575947
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
Deep Neural Network (DNN) can provide highly accurate recognition for trained data, however, the estimation error for untrained data cannot be controlled. This is an essential challenge of generalizability in machine learning, and it is difficult to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b59885dcc14fb10d59ae425ab65bbc2f
https://doi.org/10.1109/iv48863.2021.9575743
https://doi.org/10.1109/iv48863.2021.9575743
Publikováno v:
ITSC
Vehicle ego-localization using in-vehicle sensors is one of the most important technologies for ADAS and AD. Accordingly, various attempts for accurate localization using in-vehicle sensors have been developed. Methods using a visible-light camera or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2651c37336057a3edc1cbdb7f7a965fb
https://doi.org/10.1109/itsc45102.2020.9294170
https://doi.org/10.1109/itsc45102.2020.9294170
Scene-Adaptive Driving Area Prediction Based on Automatic Label Acquisition from Driving Information
Autor:
Daisuke Deguchi, Hiroshi Murase, Ichiro Ide, Haruya Kyutoku, Yasutomo Kawanishi, Takuya Migishima
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030412982
ACPR (2)
ACPR (2)
Technology for autonomous vehicles has attracted much attention for reducing traffic accidents, and the demand for its realization is increasing year-by-year. For safety driving on urban roads by an autonomous vehicle, it is indispensable to predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52c66b8d644710f5c30bf70a4775fa63
https://doi.org/10.1007/978-3-030-41299-9_9
https://doi.org/10.1007/978-3-030-41299-9_9
Autor:
Hiroshi Murase, Yasutomo Kawanishi, Masashi Hontani, Daisuke Deguchi, Ichiro Ide, Haruya Kyutoku, David Wong
Publikováno v:
VISIGRAPP (5: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::708f4682a67ee3b65e572f0a38929d1b
https://doi.org/10.5220/0007376800002108
https://doi.org/10.5220/0007376800002108
Publikováno v:
ITSC
Nowadays, development of driving support systems and autonomous driving systems have become active. Pedestrian detection from in-vehicle sensors is one of the most important technologies for these systems. However, outputs of pedestrian detectors can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8786606387feac78b95db6cfc170b3b0
https://doi.org/10.1109/itsc.2018.8569994
https://doi.org/10.1109/itsc.2018.8569994
Autor:
Ichiro Ide, Yoshito Mekada, Daisuke Deguchi, Hiroshi Murase, Haruya Kyutoku, Tomokazu Takahashi
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 134:702-710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd2caaffe8ea13047f001a8834157342
https://doi.org/10.1541/ieejeiss.134.702
https://doi.org/10.1541/ieejeiss.134.702