Sensor fusion—the intelligent combination of data from several sensors for the purpose of improving application or system performance—has the MEMS industry abuzz with promise. With potentially ...

Sensor fusion has been around for many years and is ubiquitous in mobile device designs. Sensor fusion “fuses” data from different types of sensors to improve measurement accuracy, such as for motion ...

A new robotics sensing architecture combines radar, AI compute and real-time control technologies to improve 3D perception and accelerate safe deployment of humanoid robots in real-world environments.

Some forms of data fusion will be low-cost, while others will be complex and potentially expensive. For some use cases, the results may be well worth the added cost. For other use cases, the ...

A key strategy for fully autonomous vehicles is the ability to fuse together inputs from multiple sensors, which is essential for making safe and secure decisions, but it’s turning out to be much ...

What are the database management system (DBMS) requirements for complex real-time sensor data fusion? What application modifications are needed if a DBMS isn’t being used? Different definitions of ...

In the real world, multiple types of modal information originate from the external environment and interrelate to form a whole. Multi-modal data fusion technology integrates data from diverse sources ...

Multisensor data fusion is a key technology in modern systems. It unites data obtained by several sensors to obtain a more complete and accurate picture of an environment or situation. Networks that ...

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

The architecture of a multimodal system depends on the coordination of diverse hardware and software components into a single ...