Reliable information about position and attitude is an essential requirement for many applications. The work expounded in this paper aims at a tight integration of low-cost inertial navigation and stereo vision to obtain this information. The method I present here is based on passive measurements and does not rely on external referencing. Thus, it provides a navigation solution for unknown indo...

With the continuous development of the industrialization process, the countries all over the world gradually appeared lack of agricultural labor force and aging phenomenon, which was especially prominent in developed countries. However the agricultural robot with high operating efficiency, high qualities of work will play an increasingly important role in future agricultural production. Robot n...

In Compass/INS integrated navigation systems, feedback inertial navigation solutions to baseband tracking loops may eliminate receiver dynamic effects, and effectively improve the tracking accuracy and sensitivity. In the conventional inertially-aided tracking loop, the satellite-receiver line-of-sight velocity is used directly to adjust local carrier frequency. However, if the inertial solutio...

Global Positioning System (GPS) and Inertial Navigation Systems (INS) are used for positioning and attitude determination in a wide range of applications. Since the usage of high performance INS is limited by its high cost, for general application areas low-cost INS units are used. Over the last few years, a number of low-cost inertial sensors have become available. However, these low cost sens...

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 defined as finding the position of a moving vehicle and inertial navigation is among these methods. Unfortunately, inertial navigation has errors due to different reasons such as inertial sensors. These errors must be corrected by some means. In this paper, a method based on Kalman filters and artificial neural networks is introduced to calibrate inertial sensors during the naviga...

This paper presents a software solution for multiple sensor integration for autonomous vehicle navigation. The system unique features and shortcomings are taken into account to implement the fusion of an inertial navigation system (INS) with measurements from global navigation satellite system (GNSS), altimeter, odometer and magnetometer employing a complementary extended Kalman filter to produ...