Zobrazeno 1 - 10
of 336
pro vyhledávání: '"Guohui Tian"'
Publikováno v:
IEEE Access, Vol 7, Pp 21963-21970 (2019)
In this paper, we focus on the camera localization problem using visual semantic information. In contrast to the state of the artworks which often use visual features to do localization, we here propose a coarse to a fine mechanism to localize the ca
Externí odkaz:
https://doaj.org/article/f8076dc5e27d4f47a41af73690ebab6a
Publikováno v:
IEEE Access, Vol 7, Pp 22988-22999 (2019)
With the development of deep learning, neural network-based (NN-based) methods have been applied in question answering (QA) widely and achieved significant progress. Although an NN-based QA system can obtain better performance and save manual efforts
Externí odkaz:
https://doaj.org/article/8502ae22c9ea4bd898753b69740f826b
Publikováno v:
IEEE Access, Vol 6, Pp 64461-64469 (2018)
In order to obtain accurate position information, a federated extended finite impulse response (EFIR) filter which includes sub-filters and main filter is proposed for inertial navigation system (INS)/ultrawideband (UWB)-integrated human positioning
Externí odkaz:
https://doaj.org/article/1488ffe2ff034370af0b8b42d392d0aa
Publikováno v:
IEEE Access, Vol 6, Pp 58056-58063 (2018)
In this paper, we propose a novel densely connected convolutional module (DCCM)-based convolutional neural network for human pose estimation, which can achieve higher parameter efficiency compared to the state-of-the-art works. Although existing meth
Externí odkaz:
https://doaj.org/article/b91fefda08f94181b759098c410ede30
Publikováno v:
IEEE Access, Vol 6, Pp 49563-49575 (2018)
Recent studies show that convolutional neural networks (CNNs) has made a series of breakthroughs in the two tasks of face detection and pose estimation, respectively. There are two CNN frameworks for solving these two integrated tasks simultaneously.
Externí odkaz:
https://doaj.org/article/509059116e3a49adaaa58b7ce21d1240
Autor:
Shaopeng Liu, Guohui Tian
Publikováno v:
Journal of Robotics, Vol 2019 (2019)
Indoor scene classification plays a vital part in environment cognition of service robot. With the development of deep learning, fine-tuning CNN (Convolutional Neural Network) on target datasets has become a popular way to solve classification proble
Externí odkaz:
https://doaj.org/article/549a1c0b98d7451dad22ca12eb3a93ee
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 464 (2020)
In order to improve the intelligence of home service robots and resolve their inability to develop service cognition skills in an autonomous, human-like manner, we propose a method for home service robots to learn and develop skills that allow them t
Externí odkaz:
https://doaj.org/article/15450e4e1e3041e5a6eccd956c7bca86
Autor:
Huanzhao Chen, Guohui Tian
Publikováno v:
Journal of Robotics, Vol 2018 (2018)
Robots and humans are facing the same problem: they all need to face a lot of perceptual information and choose valuable information. Before the robots provide services, they need to complete a robust real-time selective attention process in the dome
Externí odkaz:
https://doaj.org/article/af26d094f39748de8674e598b6c1d8b2
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1589 (2019)
The artificial potential field approach provides a simple and effective motion planner for robot navigation. However, the traditional artificial potential field approach in practice can have a local minimum problem, i.e., the attractive force from th
Externí odkaz:
https://doaj.org/article/a8914e8564f8463b8dffdc71c90a8bff
Autor:
Jishu Guo, Guohui Tian
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
The variable stiffness actuator (VSA) is an open research field. This paper introduces the conceptual design and analysis of four types of novel variable stiffness actuators (VSAs). The main novelty of this paper is focused on the convenience control
Externí odkaz:
https://doaj.org/article/e59dd72870a14664a17010e38fcc6306