We review the use of factor graphs for the modeling and solving of large-scale inference
problems in robotics. Factor graphs are a family of probabilistic graphical models, other …

Navigation and positioning is an important and challenging problem in many control
engineering applications. It provides feedback information to design controllers for systems …

In recent years, unmanned aircraft systems (UASs) have played an increasingly significant
role in the military and civil fields. The flight control system, as the “hub” of an unmanned …

To improve the navigation performance and robustness of integrated navigation algorithm
based on factor graph under the condition that the performance of each sensor changes and …

The current navigation systems used in many autonomous mobile robotic applications, like
unmanned vehicles, are always equipped with various sensors to get accurate navigation …

State-of-the-art recursive sensor filtering frameworks allow the fusion of multiple sensors
tailored to a specific problem but do not allow a dynamic and efficient introduction of …

To improve the robustness and reliability of multi-sensor navigation and reduce the
uncertainties and complexity of sensor management in challenging environment, a resilient …

Typical indoor location method is fingerprint and traditional outdoor location system is GPS.
Both of them are of poor accuracy and limited only for indoor or outdoor environments. As …

Robust multisensor fusion of multi-modal measurements such as IMUs, wheel encoders,
cameras, LiDARs, and GPS holds great potential due to its innate ability to improve …

It is well known that, by properly selecting the measurement configurations in robot
calibrations, the observability index of unknown parameters can be maximized, leading to …