Xiaoxiao Zhu

Dr. Xiaoxiao Zhu

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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9 March 2017 in Tribology Letters
Verified
Journal Article
Closed access
PDF file
XZXiaoxiao Zhu
Xiaoxiao Zhu
WWWei Wang
Wei Wang
SZShimin Zhang
Shimin Zhang
SLSHUHAI LIU
SHUHAI LIU

18 January 2022 in Ocean Engineering
Verified
Journal Article
Closed access
YLYunti Liu
Yunti Liu
XZXiaoxiao Zhu
Xiaoxiao Zhu
JSJiaping Song
Jiaping Song
HWHaoyue Wu
Haoyue Wu
SZShufan Zhang
Shufan Zhang
SZShimin Zhang
Shimin Zhang

1 February 2023 in Petroleum Science
Verified
Journal Article
Open access
XZXiaoxiao Zhu
Xiaoxiao Zhu
CFChun-Ming Fu
Chun-Ming Fu
YWYu-Tao Wang
Yu-Tao Wang
SZShi-Ming Zhang
Shi-Ming Zhang

1 October 2018 in Measurement
Verified
Journal Article
Closed access
XZXiaoxiao Zhu
Xiaoxiao Zhu
QJQuan Jiao
Quan Jiao
XLXiaolong Li
Xiaolong Li
SZShimin Zhang
Shimin Zhang
SLSHUHAI LIU
SHUHAI LIU

1 March 2016 in Journal of Natural Gas Science and Engineering
Verified
Journal Article
Closed access
XZXiaoxiao Zhu
Xiaoxiao Zhu
XLXiaolong Li
Xiaolong Li
CZChunhua Zhao
Chunhua Zhao
SZShimin Zhang
Shimin Zhang
SLShuhai Liu
Shuhai Liu

Verified
Journal Article
Open access
PDF file
QHQinghua He
Qinghua He
ZHZhenyu Hou
Zhenyu Hou
XZXiaoxiao Zhu
Xiaoxiao Zhu
Global route planning is a pivotal function of unmanned surface vehicles (USVs). For ships, the safety of navigation is the priority. This paper presents the VK-RRT* algorithm as a way of designing the planned route automatically. Different from other algorithms or studies, this study employs electronic navigation chart (ENC) vector data instead of grid maps as the basis of the search, which reduces data error when converting the vector map into the grid map. In addition, Delaunay triangulation is employed to organize vector data, in which the depth value is taken as a factor to ensure the safety of the planning route. Furthermore, the initial planned route is not suitable for ship tracking as it does not consider the ship motion characteristics. Therefore, the planned route needs to be further optimized. In the final part, we also conducted experiments to verify the effectiveness and advantages of the proposed algorithm. The results show that the proposed algorithm could reduce the lengths of paths by about 23% on average and save planning time; these are largely dependent on the environment.