Sensor fusion, which enables data analysis through the combination of several sensors, is being rapidly adopted in mobile designs such as smartphones, wearables, and internet of things (IoT) devices.

Sensor fusion integrates data from complementary modalities—typically camera, LiDAR and radar—to deliver a coherent and robust environmental model for autonomous vehicles. By combining the dense ...

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 ...

Distributed detection and data fusion in sensor networks address the challenge of transforming multiple local observations into a reliable global decision. In a typical architecture, spatially ...

The key challenge in sensor fusion is effectively separating signal, motion, and noise, Chen said. AIC's algorithms aim to take redundant data from different sensors that observe the same event to ...

Motion sensing devices are all around us and in several of the electronics that we use on a daily basis. Motion sensors are in earbuds – noticing taps to change songs or pausing music when we take ...

Automotive safety and comfort functions, known as Advanced Driver Assistance Systems (ADAS), have become an essential part of modern vehicles. These functions assist drivers in the driving process, ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Fairchild (NASDAQ: FCS), a leading supplier of high-performance semiconductor solutions, today launched the FIS1100 6-axis MEMS Inertial Measurement Unit (IMU), the ...

SANTA ROSA, Calif.--(BUSINESS WIRE)--PNI Sensor, the world’s foremost expert in precision location, motion tracking, and fusion of sensor systems into real-world applications, today announced ...