Advanced Driver Assistance Systems and autonomous driving technologies have been gaining widespread adoption in recent years.

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 ...

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 ...

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 ...

Sensor fusion is taking on greater importance as more applications require the combination of data from different sensor inputs. Self-driving cars, radar tracking systems, and the IoT are some ...

Sensor fusion refers to the combining of data from multiple sensors to obtain more complete and accurate results. By using the information provided by multiple sensing devices, it is possible to ...

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 ...

Though we’re mostly unaware of it, our senses relentlessly work together to guide us through the world. Our vision, hearing, and sense of touch and smell create mental images of the environment at ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...