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Data association is one of the most difficult problems in Simultaneous Localization and Mapping (SLAM). As for Autonomous Underwater Vehicle (AUV), reliable data association is particularly important because of complex and mutable underwater environment. In this paper two prevailing data association algorithms-Individual Compatibility Nearest Neighbor (ICNN) and Joint Compatibility Branch and Bound...
Autonomous underwater vehicle (AUV) has been widely used in marine exploration and military applications in the past decade. No matter which areas AUV applies in, its control system is the key of successfully completing the various tasks. In this paper a modular decision-making control system based on behaviors is proposed for AUV. The entire system is composed of two kinds of modules: Rational Behavior...
The paper describes a localization system for autonomous underwater vehicles (AUV). It uses a DVL (Doppler velocity log) sensor and AHRS (attitude and heading reference system) sensor to measure AUV's depth, attitude and velocities relative to the bottom. A mechanically scanning imaging sonar (MSIS) is employed to obtain acoustic images of objects in underwater environment. In order to estimate optimally...
Simultaneous localization and mapping (SLAM) is of prime importance for navigation problem of autonomous underwater vehicle. Currently EKF-based SLAM and particle filter-based SLAM are prevalent methods though they have their own deficiency respectively. In this paper a modified RBPF method is proposed to apply in navigation and localization for our underwater vehicle, C-RANGER. Unscented Kalman filter...
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