Generally, underwater unmanned vehicle (UUV) have adopted an inertial navigation system (INS), dead reckoning (DR), acoustic navigation and geophysical navigation techniques as the navigation method because GPS does not work in deep underwater environment. Although the tactical inertial sensor has been usually used at UUV for precise control during long operation time because the sensor can pro...

Navigation is a challenging problem in the area of underwater unmanned vehicles, due to significant electronmagnetic wave attenuation and uncertainties environments. The conventional methods, mainly implemented by acoustic devices, suffer limitations such as high cost, terrain effects low refresh rate. In this paper, novel low-cost visual navigation method, named Integrated Visual Odometry with...

This paper focuses on accuracy and other technology trends for inertial sensors, Global Positioning Systems (GPS), and integrated Inertial Navigation System (INS)/GPS systems, including considerations of interference, that will lead to better than 1 meter accuracy navigation systems of the future. For inertial sensors, trend-setting sensor technologies will be described. A vision of the inertia...

People with visual impairment face enormous difficulties in terms of their mobility as they do not have enough information about their location and orientation with respect to traffic and obstacles on their route. Visually impaired people can navigate unknown areas by relying on the assistance of canes, other people, or specially trained guide dogs. The traditional ways of using guide dogs and ...

In this research, a non-infrastructure-based and low-cost indoor navigation method is proposed through the integration of smartphone built-in microelectromechanical systems (MEMS) sensors and indoor map information using an auxiliary particle filter (APF). A cascade structure Kalman particle filter algorithm is designed to reduce the computational burden and improve the estimation speed of the ...

This paper presents an aided dead-reckoning navigation structure and signal processing algorithms for self localization of an autonomous mobile device by fusing pedestrian dead reckoning and WiFi signal strength measurements. WiFi and inertial navigation systems (INS) are used for positioning and attitude determination in a wide range of applications. Over the last few years, a number of low-co...

accuracy of inertial navigation system (ins) is limited by inertial sensors imperfections. before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. in this method the raw data is decomposed into high and low frequency data sets. in this study, wavelet multi-level resolution analysis (wmra) techn...

Current research on Unmanned Aerial Vehicles (UAVs) shows a lot of interest in autonomous UAV navigation. This interest is mainly driven by the necessity to meet the rules and restrictions for small UAV flights that are issued by various international and national legal organizations. In order to lower these restrictions, new levels of automation and flight safety must be reached. In this paper...

Inertial navigation systems are used in many situations where the use of an external reference to measure position is impractical or unreliable. Typical inertial navigation systems used in aeronautics and marine applications are highly advanced pieces of equipment costing thousands of dollars. However, inexpensive accelerometers and angular rate sensors (gyros) can be used to make a far less ac...

The Federal Aviation Administration is leading the National Airspace System modernization e ort, in part by supplanting traditional air tra c services with GPS aided by the Wide and Local Area Augmentation Systems (WAAS & LAAS). Making GPS the sole-means of navigation will enhance safety, exibility and e ciency of operations for all aircraft ranging from the single engine general aviation aircr...