Výsledky vyhledávání

Open Source Integrated Planner for Autonomous Navigation in Highly Dynamic Environments

Autor: Tetsuo Tomizawa, Naoki Akai, Yoshiki Ninomiya, Shinpei Kato, Adi Sujiwo, Luis Yoichi Morales, Hatem Darweesh, Eijiro Takeuchi, Kazuya Takeda

Publikováno v: Journal of Robotics and Mechatronics. 29:668-684

Planning is one of the cornerstones of autonomous robot navigation. In this paper we introduce an open source planner called “OpenPlanner” for mobile robot navigation, composed of a global path planner, a behavior state generator and a local plan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85ec6c70f550a0e7ffcfd109f70fd91d
https://doi.org/10.20965/jrm.2017.p0668

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Monocular Vision-Based Localization Using ORB-SLAM with LIDAR-Aided Mapping in Real-World Robot Challenge

Autor: Tomohito Ando, Eijiro Takeuchi, Adi Sujiwo, Masato Edahiro, Yoshiki Ninomiya

Publikováno v: Journal of Robotics and Mechatronics. 28:479-490

[abstFig src='/00280004/06.jpg' width='300' text='Monocular Visual Localization in Tsukuba Challenge 2015. Left: result of localization inside the map created by ORB-SLAM. Right: position tracking at starting point.' ] For the 2015 Tsukuba Challenge,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb6c3f315c989172ec068a0c63890123
https://doi.org/10.20965/jrm.2016.p0479

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Support Vector Machine - Recursive Feature Elimination (SVM - RFE) for Selection of MicroRNA Expression Features of Breast Cancer

Autor: Ratih Permatasari, Panji Wisnu Wirawan, Adi Wibowo, Amazona Adorada, Adi Sujiwo

Publikováno v: 2018 2nd International Conference on Informatics and Computational Sciences (ICICoS).

Cancer is still a major problem for people today because it is one of the biggest causes of death in the world. Based on GLOBOCAN data in 2012., breast cancer accounted for the world's largest cancer mortality rate in women by 14.7% with total deaths

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e59f43e2acb7cd80691f9ffa556577a9
https://doi.org/10.1109/icicos.2018.8621708

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Localization based on multiple visual-metric maps

Autor: Masato Edahiro, Eijiro Takeuchi, Luis Yoichi Morales, Naoki Akai, Adi Sujiwo, Yoshiki Ninomiya

Publikováno v: MFI

This paper presents a fusion of monocular camera-based metric localization, IMU and odometry in dynamic environments of public roads. We build multiple vision-based maps and use them at the same time in localization phase. For the mapping phase, visu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84b1cc5347b029e8628dbd6f985129b5
https://doi.org/10.1109/mfi.2017.8170431

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