Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jianhai Jin"'
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionSimultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when appli
Externí odkaz:
https://doaj.org/article/9183e42046474b82b94e409f74589dff
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11716 (2023)
In this work, we propose a deep-learning-based mapping model for simulating and predicting the flow field of Reynolds-averaged Navier–Stokes (RANS) and large eddy simulation (LES) of propellers. The model employs image processing and computer visio
Externí odkaz:
https://doaj.org/article/aa987f1710384368aeb1e4cde05a21c2
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 12, p 1835 (2022)
As one of the ship energy efficiency optimization measures with the most energy saving and emission reduction potential, ship speed optimization has been recommended by the International Maritime Organization. In ship speed optimization, considering
Externí odkaz:
https://doaj.org/article/4ca42d85ff9a460db3d48fb1a317abd9
Publikováno v:
Mathematics, Vol 10, Iss 15, p 2606 (2022)
Multi-object tracking (MOT) is an important research topic in the field of computer vision, including object detection and data association. However, problems such as missed detection and trajectory mismatch often lead to missing target information,
Externí odkaz:
https://doaj.org/article/37b1631f19d84d7dafc7c30594c786be
Publikováno v:
Multimedia Tools and Applications. 74:8379-8400
In order to improve the visualization simulation effect of water wave, we use the images of actual water wave as a feedback to correct the control parameters of Shallow Water (SW) equations in this paper. First, we employ a kind of simplified numeric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29a57ddf6fe56b200a91ef97c15fbcc8
https://doi.org/10.1007/s11042-013-1683-6
https://doi.org/10.1007/s11042-013-1683-6