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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  
A Novel Case of Practical Exponential Observer Using Extended Kalman Filter 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 58004-58011
Authors:  Ji DX(冀大雄);  Deng, Zhi;  Li S(李硕);  Ma, Dongfang;  Wang, Tao;  Song W(宋伟);  Zhu, Shiqiang;  Wang, Zhi;  Pan, Hongjun;  Sharma, Sanjay;  Yang, Xu
Adobe PDF(4205Kb)  |  Favorite  |  View/Download:128/33  |  Submit date:2018/11/18
Discrete-time nonlinear system  extended Kalman filter  exponential observer  restrictions  spectral norm