Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yuki KITSUKAWA"'
Autor:
Yuki Kitsukawa, Tatsuya Minami, Yudai Yamazaki, Junich Meguro, Eijiro Takeuchi, Yoshiki Ninomiya, Shinpei Kato, Masato Edahiro
Publikováno v:
International Journal of Automotive Engineering, Vol 13, Iss 4, Pp 206-213 (2022)
ABSTRACT: Ego-vehicle localization is a critical technology in autonomous driving systems, and one of the widely used methods for localization is scan matching between a 3D map and real-time LiDAR scan. This method is known to fail due to factors suc
Externí odkaz:
https://doaj.org/article/c0d58a8a1263421fadae6c6ccfe26b8b
Publikováno v:
Nihon Kikai Gakkai ronbunshu, Vol 86, Iss 892, Pp 20-00151-20-00151 (2020)
Localization in autonomous vehicles is an important technology, and the use of 3D point clouds, which provide accurate information on the road surroundings, has been attracting attention to help improve localization. In recent years, many methods for
Externí odkaz:
https://doaj.org/article/69ccfb8f1bd04a90a1df6288d0f9bbfb
Autor:
Alexander Carballo, Abraham Monrroy, David Wong, Patiphon Narksri, Jacob Lambert, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eebaa41160784dfbb9b3364bc0bad685
https://doi.org/10.1109/ivworkshops54471.2021.9669244
https://doi.org/10.1109/ivworkshops54471.2021.9669244
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
This paper presents a vision-based metric localization method using pre-built point cloud maps. Matching the 3D structures reconstructed by visual SLAM to the point cloud map resolves the accumulative errors and scale ambiguity. In addition to the ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8423a45b258dacc5683b7e41c7265409
https://doi.org/10.1109/iv48863.2021.9575569
https://doi.org/10.1109/iv48863.2021.9575569
Autor:
Aoki Takanose, Yuki Kitsukawa, Junichi Megruo, Eijiro Takeuchi, Alexander Carballo, Kazuya Takeda
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33aea5367427d441f89795d3aa54b4b7
https://doi.org/10.1109/ivworkshops54471.2021.9669209
https://doi.org/10.1109/ivworkshops54471.2021.9669209
Autor:
Alexander Carballo, Jacob Lambert, Eijiro Takeuchi, Abraham Monrroy, Kazuya Takeda, Patiphon Narksri, Shinpei Kato, Yuki Kitsukawa, David Wong
In this work, we present LIBRE: LiDAR Benchmarking and Reference, a first-of-its-kind dataset featuring 10 different LiDAR sensors, covering a range of manufacturers, models, and laser configurations. Data captured independently from each sensor incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb26f65e56276fc403bf7dd5a61e8b42
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2022:2P1-H04
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca177e532ea40aa8ee761fc78d7a9d06
https://doi.org/10.1299/jsmermd.2022.2p1-h04
https://doi.org/10.1299/jsmermd.2022.2p1-h04
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2021:1A1-G02
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b2e727d29b1f06ab046ee472142402e
https://doi.org/10.1299/jsmermd.2021.1a1-g02
https://doi.org/10.1299/jsmermd.2021.1a1-g02
Publikováno v:
The Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM. :GS7-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a6cea654d38ed2cfc84455b7c469e50
https://doi.org/10.1299/jsmeicam.2021.7.gs7-2
https://doi.org/10.1299/jsmeicam.2021.7.gs7-2
Publikováno v:
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec). 2020:2P1-K16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b1aabe4d49ee87cc64b12392fcdfbf8
https://doi.org/10.1299/jsmermd.2020.2p1-k16
https://doi.org/10.1299/jsmermd.2020.2p1-k16