|
|
|
Zuodong Pan, Wei Guo, Hongming Sun, Yue Zhou and Yanjun Lan
To ensure the safety and energy efficiency of autonomous sampling operations for a deep-sea landing vehicle (DSLV), the Safety Energy-Dynamic Window Approach (SE-DWA) algorithm was proposed. The safety assessment sub-function formed from the warning obst...
ver más
|
|
|
|
|
|
|
Gang Xue, Yanjun Liu, Zhenjie Shi, Lei Guo and Zhitong Li
In order to improve the trajectory tracking accuracy of an Underwater Vehicle Manipulator System (UVMS) under uncertain disturbance conditions of ocean current, a Model-free Adaptive Control (MFAC) method was used. Combined with Radial Basis Function Neu...
ver más
|
|
|
|
|
|
|
Hongming Sun, Wei Guo, Yanjun Lan, Zhenzhuo Wei, Sen Gao, Yu Sun and Yifan Fu
Due to the nonlinearity of the deep-seafloor and complexity of the hydrodynamic force of novel structure platforms, realising an accurate motion mechanism modelling of a deep-sea landing vehicle (DSLV) is difficult. The support vector regression (SVR) mo...
ver más
|
|
|
|
|
|
|
Congcong Guo, Wei Cong, Fengwei Zhong, Di Jiang, Jiaming Su and Yanjun Wang
The development of a Multiple Airport Region (MAR) could lead to fierce competition. To evaluate the level of homogenization between airports in a MAR, a homogenization evaluation method based on multi-dimensional indicators was developed. A multi-dimens...
ver más
|
|
|
|
|
|
|
Yanjun Shi, Hao Yu, Yijia Guo and Zhiheng Yuan
The merging area of the freeway is an area with a high incidence of traffic accidents. With the development of connected and automated vehicles (CAVs) and V2X technology, the traffic efficiency of freeway ramp areas has been significantly improved. Howev...
ver más
|
|
|
|
|
|
|
Yanjun Shi, Yijia Guo, Lingling Lv and Keshuai Zhang
The fast development of connected vehicles with support for various V2X (vehicle-to-everything) applications carries high demand for quality of edge services, which concerns microservice deployment and edge computing. We herein propose an efficient resou...
ver más
|
|
|
|
|
|
|
Fei Sun, Run Wang, Bo Wan, Yanjun Su, Qinghua Guo, Youxin Huang and Xincai Wu
Imbalanced learning is a methodological challenge in remote sensing communities, especially in complex areas where the spectral similarity exists between land covers. Obtaining high-confidence classification results for imbalanced class issues is highly ...
ver más
|
|
|
|
|
|
|
Yanjun Guo, Yansui Liu, Qi Wen and Yurui Li
|
|
|
|