This paper compares filtering methods used for localization of an underwater robot: Kalman
filter and particle filter. Kalman filter and particle filter are major filters for estimation of robot …

To overcome particle impoverishment, a simultaneous localization and map** (SLAM)
method based on multi-agent particle swarm optimized particle filter (MAPSOPF) was …

The sound velocity profile is the base of various underwater acoustic equipment. In this
paper, a low-cost sound velocity profiler is designed based on the time difference method. It …

This paper describes a method for estimating the attitude of an underwater robot. The
method employs a new concept of sine rotation vector and uses both an attitude heading …

This paper presents a technique for enhanced localization of moving nodes in Wireless
Sensor Networks (WSNs). The proposed technique is based on the use of Time Difference …

Probabilistic approaches are extensively used to solve high-dimensionality problems in
many different fields. The particle filter is a prominent approach in the field of Robotics, due …

This paper proposed a framework of recognition and tracking for underwater objects using
sonar images as an alternative of underwater optical camera which has the limitation of …

Autonomous Underwater Vehicles (AUVs) and Remotely Operated Vehicles (ROVs) are
used for a wide variety of missions related to exploration and scientific research. Successful …

The localization of underwater targets has been one of the goals of underwater acoustics
since its inception in the early 20th century. More recently, the rise of underwater sensor …

This paper considers the problem of constructing a globally convergent position-and velocity
estimator with close-to-optimal noise properties using hydroacoustic long baseline …