Zobrazeno 1 - 10
of 115
pro vyhledávání: '"directional camera"'
Autor:
Ishihara, Yu a, ⁎, Takahashi, Masaki b
Publikováno v:
In Robotics and Autonomous Systems April 2022 150
Autor:
Sato, Tomokazu ⁎, Yokoya, Naokazu
Publikováno v:
In Journal of Visual Communication and Image Representation 2010 21(5):416-426
Publikováno v:
法政大学大学院紀要. 理工学・工学研究科編. 60:1-6
This paper describes the development of Robot Operating System (ROS) component for lane recognition and navigation of IGVC Auto - Nav Challenge. To achieve a robust and stable navigation, we propose new lane and obstacle recognition algorithm based o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::d07c1e2c77691d4b706f87233bebc1f6
http://hdl.handle.net/10114/00022067
http://hdl.handle.net/10114/00022067
Autor:
Wu, Chih-Jen a, 1, Tsai, Wen-Hsiang a, b, ⁎
Publikováno v:
In Robotics and Autonomous Systems 2009 57(5):546-555
Autor:
Jeng, Sheng-Wen a, ⁎, Tsai, Wen-Hsiang a, b, 1
Publikováno v:
In Image and Vision Computing 2008 26(5):690-701
Akademický článek
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Publikováno v:
法政大学大学院紀要. 理工学・工学研究科編. 56:1-8
Human color sense is different from camera captured color image due to the characteristic human visual sensation of optical illusion and color constancy. Regardless of optical illusion and color constancy, human car-driver can handle an automobile wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::9cadcf0bcedc6cb3908179558863353e
http://hdl.handle.net/10114/10604
http://hdl.handle.net/10114/10604
Publikováno v:
法政大学大学院紀要. 理工学・工学研究科編 = 法政大学大学院紀要. 理工学・工学研究科編. 55:1-6
This paper describes a robust and stable lane detection algorithm for mobile robot under real world urban area environment. In order to achieve robust and stable lane detection, we propose a new eigenvector based clustering algorithm based on the omn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::b403e78949214de297473b805b255afa
http://hdl.handle.net/10114/9583
http://hdl.handle.net/10114/9583
Publikováno v:
法政大学大学院紀要. 理工学・工学研究科編 = 法政大学大学院紀要. 理工学・工学研究科編. 55:1-6
This paper describes a new self-localization algorithm for IGVC Auto-Nav Challenge by using Omni-directional images without GPS information. In order to achieve an accurate self-localization of the mobile robot, a sequence of Omni-directional white l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::5b5857ba3caf299dde68639ea761878c
http://hdl.handle.net/10114/9596
http://hdl.handle.net/10114/9596
Autor:
Naokazu Yokoya, Tomokazu Sato
Publikováno v:
Journal of Visual Communication and Image Representation. 21(5-6):416-426
In this article, we propose an efficient method for estimating a depth map from long-baseline image sequences captured by a calibrated moving multi-camera system. Our concept for estimating a depth map is very simple; we integrate the counting of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::148ddd470f976eb4fbe55e1320d0cc1d
http://hdl.handle.net/10061/11041
http://hdl.handle.net/10061/11041