Handling cameras, radar, and sensors in one system can be very complex. Imagine sending data, power, and control over a ...

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 ...

Whether it be smartphones, wearables, virtual reality headsets, or even robotic vacuum cleaners, today’s users expect and demand such devices to consistently behave as commanded, to smoothly and ...

As of 2025, AI vehicle sensor technology has become the backbone of autonomous driving and advanced driver-assistance systems ...

The automotive industry is zeroing in on sensor fusion as the best option for dealing with the complexity and reliability needed for increasingly autonomous vehicles, setting the stage for yet another ...

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 ...

Sensors are increasingly important in mobile devices. Combining data from cameras, microphones, inertial sensors, beacons (e.g., GPS) and proximity-based sensors can greatly improve the accuracy and ...

The U.S. Army’s Foliage Penetration Reconnaissance, Surveillance, Tracking and Engagement Radar (FORESTER) program aims to develop a low-frequency radar to track dismounted personnel under foliage.