Chuang Wang

Dr. Chuang Wang

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2024 in Robotics and Computer-Integrated Manufacturing
Verified
Journal Article
Closed access
CWChuang Wang
Chuang Wang
QPQuan-Ke Pan
Quan-Ke Pan
HSHong-Yan Sang
Hong-Yan Sang

26 September 2023 in Expert Systems with Applications
Verified
Journal Article
Closed access
CWChuang Wang
Chuang Wang
QPQuan-Ke Pan
Quan-Ke Pan
XJXue-Lei Jing
Xue-Lei Jing

29 January 2020 in Sensors
Verified
Journal Article
Open access
PDF file
CWChuang Wang
Chuang Wang
LXLi Xing
Li Xing
XTXiaowei Tu
Xiaowei Tu
The position and orientation of a mobile agent, such as robot or drone, etc., should be estimated in a timely way during operation in the structured indoor environment, so as to ensure the security and efficiency of task execution. Concerning the problem that the position and orientation are often estimated separately by different kinds of sensors in the off-the-shelf methods, we design a novel position orientation sensor (POS). The POS consists of four pairs of linear charge-coupled devices (CCDs) and cylindrical lenses, which can estimate the 3D coordinate of the anchor in the POS’s field of view. After detecting at least three anchors in its field of vision sequentially, the Rodrigues coordinate transformation algorithm is utilized to estimate the position and orientation of POS simultaneously. Meanwhile, the position and orientation are estimated at the receiver side. Hence there is no privacy concern associated with this system. The architecture of the proposed POS is symmetrical and redundant, even if one of the linear CCDs or cylindrical lens malfunctions, the whole system could still work normally. The proposed method is cost-effective and easily extends to a wide range. The numerical simulation demonstrates the feasibility and high accuracy of the proposed method, and it outperforms the off-the-shelf methods.