This video looks at track-level fusion, an architecture that provides advantages where access to data is an issue, where bandwidth is problem. where computing capabilities are limited, and where ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

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

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 ...

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 ...

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 ...

As the race toward truly autonomous vehicles continues, and timelines for their arrival keep changing as new obstacles are discovered, one key debate in the industry revolves around which technologies ...