Deep-sea vessels use various NAVIGATIONal aids like AIS (automatic identification system), ECDIS (electronic chart display and information system), radar, GPS (global positioning system), and etc. vessels use AIS to communicate their NAVIGATIONal characteristics, destinations, and load information. Such data are very helpful for vessel officers; therefore, AIS can be used for communicating the name and position of the vessel as well as NAVIGATIONal signs in the port area. So, this system is very helpful in improving the quality of pilotage as well as improving the safety of NAVIGATION in canals like Khur Musa.

The increase in capability and performance of digital cameras, processors and image processing algorithms has caused vision-aided NAVIGATION of aerial vehicles to be a hot research of interest. In order to determine pose parameters form vision-aided NAVIGATION methods, it is common to use automatic image registration using information of reference databases. However, solving registration issue in automatic navigating of aerial vehicles has been considered a complex manner. In this paper, a novel method for vision-aided NAVIGATION of aerial vehicles to increase reliability and accuracy of geo-referencing aerial image is proposed. To have robust evaluation, different aerial images with variety of conditions are utilized to assess this method. Obtained results show high performance of proposed method to solve issues related to automatic GEO-referencing of aerial images.

The Inertial NAVIGATION system is an ideal solution for motion detection with high accuracy with fast dynamics, but the precise location and status of the system output can be significantly reduced over time. On the other hand, global positioning system is able to determine its position with an average accuracy around the earth. But the GPS alone isn’t enough for NAVIGATION of orbital modules, because it doesn’t have situation of orbital modules. The integrated inertial NAVIGATION system with global positioning system is a low cost method of providing an accurate and reliable NAVIGATION system in the civilian and military aerospace applications. In this paper, using the extended Kalman filter, we design an algorithm to estimate error of sensors, NAVIGATION and GPS. This method can be widely used in the integrated NAVIGATION INS / GPS in aerospace applications and provides an accurate NAVIGATION.

Todays, one of the topics that is of particular importance in the field of NAVIGATION is the use of NAVIGATION error propagation equations in order to integrate the output of an inertial NAVIGATION system with an external measurement to take advantages of both the inertial NAVIGATION mechanism and the external measurement. Study of past research Show that error propagation equations are generally extracted in a geographic frame that can have weaknesses. This paper demonstrates how to extract the error propagation equations in a tangent frame that not only have more simplicity than the geographic frame but also have a higher accuracy in describing the inertial NAVIGATION error propagation and thus increase the efficiency of the integrated NAVIGATION system. Finally, simulations in two cases using the tangent error propagation model and the geographic error propagation equations are performed by considering the hypothetical values for the acceleration and angular velocities and random error of the sensors. The results of the simulations also confirm the increasing of accuracy of the proposed error propagation model in this paper. ns in this paper also confirm the validity of this issue.

In this article, we are going to discuss the geometry of the NAVIGATION problem on a Finsler manifold. We will give proofs for several important local and global results.

The NAVIGATION technique is very e, ective to obtain or classify a Finsler metric from a given a Finsler metric (especially a Riemannian metric) under an action of a vector , eld on a di, erential manifold. In this survey, we will survey some recent progress on the NAVIGATION problem and conformal vector , elds on Finsler manifolds, and their applications in the classi, cations of some Finsler metrics of scalar (resp. constant) ag curvature.