Abstract Purpose of Review The purpose of this review is to survey recent work in the area of
perception for underwater robots. We consider problems such as object-level identification …

A robust adaptive fuzzy neural network control (RAFNNC) algorithm is proposed based on a
generalized dynamic fuzzy neural network (GDFNN), proportion–integral–differential (PID) …

Objective Today, cerebrovascular disease has become an important health hazard.
Therefore, it is necessary to perform a more accurate and less time-consuming registration …

Due to the unavailability of GPS signal, it is more urgent to develop the autonomous
navigation capability for the underwater vehicles. In this paper, we summarize the …

In order to obtain accurate underwater target tracking results in forward-looking sonar image
sequences, an adaptive particle swarm optimization (APSO) algorithm is proposed to track …

An increased interest in computer-aided heritage reconstruction has emerged in recent
years due to the maturity of sophisticated computer vision techniques. Concretely, feature …

To obtain accurate underwater target tracking results, an improved kernelized correlation
filter (IKCF) algorithm is proposed to track the target in forward-looking sonar image …

This work is a part of the European SWARMs project (Smart and Networking UnderWAter
Robots in Cooperation Meshes), in which AUVs and ROVs should work in a cooperative …

摘要自动量化评估小鼠脊背皮窗血管损伤对于血管靶向光动力疗法(V-PDT)
的个性化精准治疗研究具有重要意义. V-PDT 治疗过程中, 受小鼠呼吸, 心跳和不自主运动等 …

Acoustic imaging sonar can be used as important navigation sensors for underwater
intervention systems as they consistently provide spatial information about the surrounding …