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A novel target detection method of the unmanned surface vehicle under allweather conditions with an improved yolov3 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 1-14
Authors:  Li Y(李岩);  Guo JH(郭家宏);  Guo XM(郭晓敏);  Liu KZ(刘开周);  Zhao WT(赵文涛);  Luo YT(罗业腾);  Wang ZY(王振宇)
Adobe PDF(2949Kb)  |  Favorite  |  View/Download：168/22  |  Submit date：2020/09/12
unmanned surface vehicle  real-time object detection  deep learning  YOLOV3  all-weather condition  
Experimentally Verified Depth Control of an Unmanned Semi-Submersible Vehicle 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 94254-94262
Authors:  Zhou HY(周焕银);  Liu KZ(刘开周);  Xu HL(徐红丽);  　Feng XS(封锡盛)
Adobe PDF(5005Kb)  |  Favorite  |  View/Download：152/37  |  Submit date：2019/08/29
Depth control performance  feedback control  rule-based supervision  unmanned semi-submersible vehicle  
GLOBALLY STABLE ADAPTIVE DYNAMIC SURFACE CONTROL FOR COOPERATIVE PATH FOLLOWING OF MULTIPLE UNDERACTUATED AUTONOMOUS UNDERWATER VEHICLES 期刊论文
Asian Journal of Control, 2018, 卷号: 20, 期号: 3, 页码: 1204-1220
Authors:  Wang H(王昊);  Li YP(李一平);  Liu KZ(刘开周)
Adobe PDF(1316Kb)  |  Favorite  |  View/Download：680/139  |  Submit date：2017/12/21
Cooperative Path Following  Dynamic Surface Control  Autonomous Underwater Vehicles  Globally Stable  Neural Networks  Uncertainties