Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Articles by Guoquan Xiao
Computational Fluid Dynamics Prediction of the Sea-Keeping Behavior of High-Speed Unmanned Surface Vehicles Under the Coastal Intersecting Waves
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Xiaobin Hong Prof. Dr. Xiaobin Hong is currently the Deputy Director of the Department of Mechanical and at the a [...] Prof. Dr. Xiaobin Hong is currently the Deputy Director of the Department of Mechanical and Electronic Engineering at the School of Mechanical and Automotive Engineering, South China University of Technology.
A Virtual System and Method for Autonomous Navigation Performance Testing of Unmanned Surface Vehicles
2.1. Key Requirements Analysis for the Virtual Testing of Autonomous Navigation Performance As an unmanned watercraft, autonomous navigation is a key aspect of the performance ofUSVs. To test the autonomous navigation capabilities of USVs, it is necessary to analyze and assess their performance in various areas, including but not limited to environmental perception, trajectory tracking and autonomous obstacle avoidance.
A Test Method for Obstacle-Avoidance Performance of Unmanned Surface Vehicles Based on Mobile-Buoy–Shore Multisource-Sensing-Data Fusion
Open AccessArticle by Guoquan Xiao 1, Guihong Zheng 1, Bing Ren 1, Yue Wang 2, Xiaobin Hong 1,* and Zhigang Zhang 3,* 1 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510641, China 2 Thurgood Marshall (Frmly Third) College, University of California, San Diego, CA 92093, USA 3 Guangdong Provincial Key Laboratory of Electronic Information Products Reliability Technology, Guangzhou 510610, China * Authors to whom correspondence should be addressed.
A Quantitative Evaluation Method for Obstacle Avoidance Performance of Unmanned Ship
Open AccessArticle by Guoquan Xiao , Bing Ren , Chao Tong and Xiaobin Hong * School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China * Author to whom correspondence should be addressed.
Show More
loading
Actions
Is this you?
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Get in touch with Guoquan
Contact Guoquan, search articles and posts on X, monitor coverage, and track replies from one place.
Learn more about Muck Rack