Accurate alignment and vertical channel instability play an important role in the strap-down inertial navigation system (SINS), especially in the case that precise navigation has to be achieved over long periods of time. Due to poor initialization as well as the cumulative errors of low-cost inertial measurement units (IMUs), initial alignment is not sufficient to achieve required navigation ac...

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...

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 describes the design, operation, and test results of a miniature, low cost integrated GPS/inertial navigation system that uses commercial off-the-shelf Micro-Electro-Mechanical System (MEMS) accelerometers and gyroscopes. The MEMS inertial measurement unit (IMU) is packaged in a small size and provides the raw IMU data through a serial interface to a processor board where the inertia...

Today GPS aided inertial navigation is widely used and well studied in any aspects. The good short term properties of inertial data are complemented by the long term stability of the GPS signal. A common approach is to use a Kalman filter for fusing GPS and inertial data to constrain the inertial sensor drift. Although this is working well in many applications there is a need to find a similar ...