lisäinertiaalinavigaatio

Lisäinertiaalinavigaatio is a Finnish term that translates to "Augmented Inertial Navigation." It refers to a system that combines inertial navigation system (INS) data with external aiding information to improve accuracy and reliability. Traditional INS systems rely on accelerometers and gyroscopes to track an object's position, velocity, and orientation. However, these systems are prone to drift over time due to accumulating errors.

Augmented inertial navigation systems address this limitation by integrating data from other sensors. Common aiding sources include GPS receivers, odometers, magnetometers, and even visual odometry from cameras. GPS provides absolute position fixes that can correct the drift in INS. Odometers measure distance traveled, helping to constrain velocity estimates. Magnetometers can provide heading information, and visual odometry can track movement by analyzing changes in images.

The integration of these diverse data sources is typically achieved through sophisticated algorithms, such as Kalman filters or particle filters. These algorithms weigh the contributions of each sensor based on their estimated accuracy and update the navigation solution accordingly. The goal is to provide a more robust and precise navigation solution than what could be achieved with INS alone, especially in environments where GPS signals may be weak or unavailable, such as urban canyons, tunnels, or underwater. Lisäinertiaalinavigaatio finds applications in various fields, including autonomous vehicles, robotics, aviation, and marine navigation.