When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

This paper aims to address formation control for multiple underactuated autonomous
underwater vehicles (AUVs) in the presence of disturbances and unknown dynamic …

Localisation technology is one of the most important challenges of underwater vehicle
applications that accomplish any scheduled mission in the complex underwater …

Abstract Simultaneous Localization and Mapping (SLAM) is the foundation of autonomous
navigation for unmanned systems. The existing SLAM solutions are mainly divided into the …

This paper improves the accuracy of a mine robot's positioning and mapping for rapid
rescue. Specifically, we improved the FastSLAM algorithm inspired by the lion swarm …

Simultaneous Localization and Mapping (SLAM) is a well-known solution for mapping and
realizing autonomous navigation of an Autonomous Underwater Vehicle (AUV) in unknown …

The inspection-class Remotely Operated Vehicles (ROVs) are crucial in underwater
inspections. Their prime function is to allow the replacing of humans during risky subaquatic …

To obtain independent navigation results for autonomous underwater vehicles (AUVs) and
construct high-resolution consistent seabed maps, a particle filter-based bathymetric …

Particle filter (PF) is introduced to tackle the limitations of the Kalman filter which adopts
Gaussian in the state and noise of the system. PFs have the problem of sample …

在捷联惯性导航与超短基线组合导航系统中, SINS 和USBL 存在安装偏差, 如不加以补偿将影响
组合导航精度. 针对此问题, 提出了基于迭代扩展卡尔曼滤波(IEKF) 的SINS/USBL …