Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jinqiang C"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Autonomous Intelligent Systems, Vol 3, Iss 1, Pp 1-12 (2023)
Abstract We present in this paper a novel framework and distributed control laws for the formation of multiple unmanned rotorcraft systems, be it single-rotor helicopters or multi-copters, with physical constraints and with inter-agent collision avoi
Externí odkaz:
https://doaj.org/article/ff9ba2420b6841fe9400920666ac91a0
Autor:
Liang Fang, Ruoyu Zhang, Hongwei Duan, Jinqiang Chang, Zhaoquan Zeng, Yifu Qian, Mianzhe Hong
Publikováno v:
Sensors, Vol 23, Iss 20, p 8421 (2023)
The measurement of seed cotton moisture regain (MR) during harvesting operations is an open and challenging problem. In this study, a new method for resistive sensing of seed cotton MR measurement based on pressure compensation is proposed. First, an
Externí odkaz:
https://doaj.org/article/b9bfcf0f7020456b83986cb20e1a1f5a
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
Low-cost inertial measurement units (IMUs) based on microelectromechanical system (MEMS) have been widely used in self-localization for autonomous robots due to their small size and low power consumption. However, the low-cost MEMS IMUs often suffer
Externí odkaz:
https://doaj.org/article/28f734093e6b4014af831cd82ef40388
Publikováno v:
Sensors, Vol 21, Iss 7, p 2400 (2021)
This paper is concerned with relative localization-based optimal area coverage placement using multiple unmanned aerial vehicles (UAVs). It is assumed that only one of the UAVs has its global position information before performing the area coverage t
Externí odkaz:
https://doaj.org/article/981b50a13ceb465694b66b89a0a18713
Publikováno v:
Sensors, Vol 21, Iss 3, p 690 (2021)
Semantic segmentation is one of the most widely studied problems in computer vision communities, which makes a great contribution to a variety of applications. A lot of learning-based approaches, such as Convolutional Neural Network (CNN), have made
Externí odkaz:
https://doaj.org/article/a01b5c4311114cb4ba63fa971196fbd5
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.