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These problems become significant in the case of GPS signals unavailability where MEMS inertial solution generates large errors.
The acquired GPS navigational information helps in inertial solution stabilization where inertial sensor errors are bounded by the GPS updates.
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Further, a criterion is found which determines the existence and the number of spurious inertial solutions.
As the inertial navigation completely depends on the sensed acceleration and rotation rate by IMU, the sensor errors accumulate and eventually lead to diverged inertial solutions.
The aim of the present study is to show that when spurious inertial solutions are present, they are mainly responsible for the aforementioned problems.
In essence, a non-linear least-squares algorithm is employed to estimate the internal camera parameters, the stereo baseline and the relative orientation, the lever-arms and bore-sight angles using image measurements together with the integrated GPS aided-inertial solution.
The method proceeds in two steps: (a) the stereo auto-calibration using only image measurements and then (b) the system calibration using the GPS-aided inertial integrated navigation solution (position and orientation) as external measurements.
Inertial guidance provided a solution to critical technical problems in Cold War nuclear strategy.
Once the signals of ultrasonic positioning system are outages, the model is able to correct inertial navigation system (INS) solution as filter does.
Nowadays, the need for a time domain solution for inertial effects on acoustic fields clearly arises when dealing with applications involving strong variations of the rotation rates.
However, microelectromechanical systems (MEMS) technologies are now providing integrated and low-cost inertial measurement unit (IMU) solutions [1,2] that make possible the design of mobile consumer systems.
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