Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Xianlun Wang"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9617 (2023)
The robotics industry and associated technology applications are a vital support for modern production and manufacturing. With the intelligent development of the manufacturing industry, the application of collaboration robots and human-robot collabor
Externí odkaz:
https://doaj.org/article/efebff9039b942a188c458d7e8b5f9e6
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11322 (2023)
Autonomous mobile robots (AMRs) require SLAM technology for positioning and mapping. Their accuracy and real-time performance are the keys to ensuring that the robot can safely and accurately complete the driving task. The visual SLAM systems based o
Externí odkaz:
https://doaj.org/article/749da6248cae4a138368d5c8a4cee206
Autor:
Yuru, Bao, Xianlun, Wang
Publikováno v:
In Procedia Environmental Sciences 2011 8:313-318
Autor:
Xianlun Wang, Longfei Chen
Publikováno v:
Journal of Intelligent & Robotic Systems. 97:67-79
With the rise of service robots, research on cooperation between two-arm robots has become increasingly important. In this paper, two NAO two-armed robots are used as the experimental platform and are combined with projective geometry, vision, roboti
Publikováno v:
ITM Web of Conferences. 47:02028
A new feature description method based on the fusion of fast retina keypoint (FREAK) and the rotation-aware binary robust independent elementary features (rRBRIEF) is proposed to realize the effective combination of efficiency and accuracy of the two
Publikováno v:
Journal of Physics: Conference Series. 1924:012001
The paper’s primary purpose is to optimize the performance (speed/accuracy) of vehicle detection. The vehicle dataset Vehicle2020 used in this paper is divided into ten different vehicle classes. Intersection over Union (IoU) is usually used as a s
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811501203
ICPCSEE (2)
ICPCSEE (2)
To address the problem of using fixed feature and single apparent model which is difficult to adapt to the complex scenarios, a Kernelized correlation filter target tracking algorithm based on online saliency feature selection and fusion is proposed.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d714f33828e74a3a8fa18c5b4acc75d
https://doi.org/10.1007/978-981-15-0121-0_13
https://doi.org/10.1007/978-981-15-0121-0_13
Autor:
Zuomin Yang, Xianlun Wang
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 782:042062
Image recognition and classification using a convolution neural network is an important application of image processing. How too reasonably to design the convolutional layer of the convolutional neural network, the number of hidden layers and optimiz
Publikováno v:
2012 International Conference on Computer Science and Electronics Engineering.
Aimed at satisfying the demand of complex path programming for industrial robot, a computer-aided programming system based on DXF file is developed. By analyzing storage information of the graphic elements in DXF file, we develop a method to extract
Publikováno v:
2012 International Conference on Computer Science and Electronics Engineering.
The kinematics model of robot is established based on the specific structure of 6R robot. In consideration of the robot base movement and the actuators replacement, the key problem of robot inverse kinematics is separated and a new simple method for