Such models are useful for sensor fusion and relational learning.

NIRA Dynamics is developing sensor fusion based systems for different vehicle applications.

As such, it is a common sensor fusion and data fusion algorithm.

Other researchers have been working to develop similar, animal-inspired approaches to this type of technology, known as "sensor fusion."

Its researchers contribute to fields such as artificial vision, image processing, machine learning, neural networks, robotics, and sensor fusion.

In sensor fusion, centralized versus decentralized refers to where the fusion of the data occurs.

There are several categories or levels of sensor fusion that are commonly used.

For example, sensor fusion is also known as (multi-sensor) data fusion and is a subset of information fusion.

The Brooks-Iyengar hybrid algorithm for distributed control in the presence of noisy data combines Byzantine agreement with sensor fusion.

It bridges the gap between sensor fusion and Byzantine fault tolerance.