Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shigemichi Matsuzaki"'
Publikováno v:
IEEE Access, Vol 10, Pp 5115-5128 (2022)
This paper describes a method of estimating the traversability of plant parts covering a path and navigating through them for mobile robots operating in plant-rich environments. Conventional mobile robots rely on scene recognition methods that consid
Externí odkaz:
https://doaj.org/article/c4d59a0c42d84fbf972066899ad75e9c
Publikováno v:
Advanced Robotics. 36:1011-1029
This paper describes a novel method of training a semantic segmentation model for scene recognition of agricultural mobile robots exploiting publicly available datasets of outdoor scenes that are different from the target greenhouse environments. Sem
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021:1P2-G11
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020:1P1-A07
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2018:1P1-A03
Autor:
Matsuzaki, Shigemichi1 (AUTHOR) matsuzaki@aisl.cs.tut.ac.jp, Miura, Jun1 (AUTHOR), Masuzawa, Hiroaki1 (AUTHOR)
Publikováno v:
Advanced Robotics. Oct2022, Vol. 36 Issue 19, p1011-1029. 19p.
Autor:
El Hafi, Lotfi1,2 (AUTHOR) lotfi.elhafi@em.ci.ritsumei.ac.jp, Garcia Ricardez, Gustavo Alfonso1,2,3 (AUTHOR), von Drigalski, Felix1,2,4 (AUTHOR), Inoue, Yuki5 (AUTHOR), Yamamoto, Masaki6 (AUTHOR), Yamamoto, Takashi7 (AUTHOR)
Publikováno v:
Advanced Robotics. Jun2022, Vol. 36 Issue 11, p533-547. 15p.
“IAS has been held every two years since 1986 providing venue for the latest accomplishments and innovations in advanced intelligent autonomous systems. New technologies and application domains continuously pose new challenges to be overcome in ord