Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Lilian Zhang"'
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
Yunling cattle is a new breed of beef cattle bred in Yunnan Province, China, which has the advantages of fast growth, excellent meat quality, improved tolerance ability, and important landscape value. Copy number variation (CNV) is a significant sour
Externí odkaz:
https://doaj.org/article/379c05d7786b428a9c52db149b1b4541
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Yunling cattle is a new breed of beef cattle bred in Yunnan Province, China. It is bred by crossing the Brahman, the Murray Grey and the Yunnan Yellow cattle. Yunling cattle can adapt to the tropical and subtropical climate environment, and
Externí odkaz:
https://doaj.org/article/b1a5a1f2550e45efbb2e19a0d51bbee4
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9748 (2024)
Robust localization and mapping are crucial for autonomous systems, but traditional handcrafted feature-based visual SLAM often struggles in challenging, textureless environments. Additionally, monocular SLAM lacks scale-aware depth perception, makin
Externí odkaz:
https://doaj.org/article/117617563c6f44cab992569ed716674a
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3639 (2024)
This paper introduces a nonlinear dynamic inversion control algorithm designed to address unknown disturbances and actuator saturation issues in unmanned aerial vehicle (UAV) attitude control. The algorithm is based on a combination of finite-time di
Externí odkaz:
https://doaj.org/article/840ee66ffda54f038edf41ed5a2d572c
Efficient Visual-Inertial Odometry (VIO) is crucial for payload-constrained robots. Though modern optimization-based algorithms have achieved superior accuracy, the MSCKF-based VIO algorithms are still widely demanded for their efficient and consiste
Externí odkaz:
http://arxiv.org/abs/2407.01888
Publikováno v:
BMC Musculoskeletal Disorders, Vol 21, Iss 1, Pp 1-7 (2020)
Abstract Background Previous studies have confirmed the feasibility of the cortical bone trajectory (CBT) technique. However, there are few reports on spinous process violation and screw penetration during the screw insertion. The purpose of this stu
Externí odkaz:
https://doaj.org/article/51b58ae3a4014daf8c34d6bd66df5a7b
Publikováno v:
IEEE Access, Vol 8, Pp 10879-10887 (2020)
The aim of this present is to design a new kind of compass which can be used during the absence of satellite signals. It is a development trend to enhance the reliability and environmental adaptability of navigation system to enable the vehicle-borne
Externí odkaz:
https://doaj.org/article/57ed102624d14194b75676b075a70a67
Publikováno v:
Drones, Vol 6, Iss 11, p 312 (2022)
Collaborative simultaneous localization and mapping have a great impact on various applications such as search-and-rescue and agriculture. For each agent, the key to performing collaboration is to measure the motion relative to other participants or
Externí odkaz:
https://doaj.org/article/3e824e2c70fc4a4c95de4fdd072dea27
Publikováno v:
IEEE Access, Vol 7, Pp 5723-5735 (2019)
Efficient and robust visual place recognition is of great importance to autonomous mobile robots. Recent work has shown that features learned from convolutional neural networks achieve impressed performance with efficient feature size, where most of
Externí odkaz:
https://doaj.org/article/b6f38de914b84263b22c9b11742cf4b1
Publikováno v:
Sensors, Vol 15, Iss 6, Pp 12816-12833 (2015)
This paper presents a novel approach for estimating the ego-motion of a vehicle in dynamic and unknown environments using tightly-coupled inertial and visual sensors. To improve the accuracy and robustness, we exploit the combination of point and lin
Externí odkaz:
https://doaj.org/article/d5e6ba6eff96468ca732b0afe7f61428