Industrial machines have long relied on a variety of sensors to execute their targeted mission and obtain the desired performance and reliability. Sensor fusion provides a more comprehensive approach ...

The mathematics that enable sensor fusion include probabilistic modeling and statistical estimation using Bayesian inference and techniques like particle filters, Kalman filters, and α-β-γ filters, ...

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 ...

Modern autonomous drones are increasingly combining cameras, LiDAR, positioning systems, inertial measurements, and ...

As today’s internal-combustion engines are replaced by electric/electronic vehicles, mechanical-system sensors will be supplanted by numerous electronic sensors both for efficient operation and for ...

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 ...

Prioritize Level 2 platforms, radar-led sensor fusion, centralized compute and OEM partnerships, with Asia-Pacific and passenger vehicles as key growth targets.Dublin, Oct. (GLOBE NEWSWIRE) -- "ADAS ...

The Pentagon and U.S. defense industry are pursuing several major programs that depend on enabling radar, infrared systems, and other sensors to work together such that they combine their strengths ...