Summary <p>This chapter provides an in&#x2010;depth look at sensor fusion methods and algorithms, starting with an introduction to the estimation philosophy that guides the design of fusion systems.

For example, modern sensor fusion algorithms can process data from heterogeneous sources in real-time, handling large volumes of data in environments such as smart cities .

As the digital world increasingly relies on accurate, real-time information, the concept of sensor fusion is racing to the fore as a cornerstone of technology executions at the leading-edge. Sensor ...

Learn about the most effective sensor fusion methods for estimating the pose of a robot, such as Kalman filters, factor graphs, deep learning, and hybrid methods.

In the field of automotive design, sensor fusion is becoming increasingly popular and complex. It integrates various types of sensors into a single chip or package and intelligently routes the data ...

Building on the XKF-3™ sensor fusion algorithms for 3D orientation estimation, Xsens is delivering a custom DSP module which outputs very accurate vertical reference values, even in dynamic ...