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.

Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, ...

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 ...

In addition to improved performance from individual sensing technologies, including radar and light detection and ranging ...

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 typically implies the processing of sensor outputs for improved data for decision-making. However, different levels and interpretations of sensor fusion can make the topic rather ...

Sensor fusion is the accumulation of data from multiple sensors to gain an accurate picture of the sensors than can be determined by any one sensor alone. Such fusion of different types of sensors ...

Sensor fusion sounds great, but how does it work? We show how you can apply sensor fusion in your product for indoor mobile navigation, combining visual and movement data. How to build an indoor ...