Inertial Navigation Systems
نویسندگان
چکیده
منابع مشابه
Applications of Inertial Navigation Systems in Medical Engineering
Inertial navigation systems are of the most important and practical systems in determining the velocity, position and attitude of the vehicles and different equipment. In these systems, three accelerometers and three gyroscopes are used to measure linear accelerations and angular velocities of vehicles, respectively. By using the output of these sensors and special inertial algorithms in differ...
متن کاملInertial Navigation Systems and Its Practical Applications
Main intention of autonomous devices’ designers is to develop tools used for implementation tasks, such as unknown territory exploration or performing tasks in strong radiation fields which are dangerous for human health and life. Unmanned flying objects used for military, mobile robots, space ships, exoskeletons or intelligent clothing monitoring body signals. These are only a few examples of ...
متن کاملInertial navigation systems for mobile robots
A low-cost solid-state inertial navigation system (INS) for mobile robotics applications is described. Error models for the inertial sensors are generated and included in an Extended Kalman Filter (EKF) for estimating the position and orientation of a moving robot vehicle. Two Merent solid-state gyroscopes have been evaluated for estimating the orientation of the robot. Performance of the gyros...
متن کاملAdaptive Fusion of Inertial Navigation System and Tracking Radar Data
Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...
متن کاملVision Aided Inertial Navigation
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 ...
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ژورنال
عنوان ژورنال: Journal of Applied Mechanics
سال: 1964
ISSN: 0021-8936,1528-9036
DOI: 10.1115/1.3629763