MatrixSpace extends its advanced, portable drone detection portfolio with the launch of the multi-sensor MatrixSpace Fusion 360, verifying threats by fusing radar, optical, and RF/Remote ID sensor ...

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 ...

Rapid advances in sensing technologies and artificial intelligence are transforming how we observe, understand, and manage soils. Many of soil properties ...

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

“We present an end-to-end method for object detection and trajectory prediction utilizing multi-view representations of LiDAR returns. Our method builds on a state-of-the-art Bird’s-Eye View (BEV) ...

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 ...

Demonstrated multi-sensor data fusion and automatic target recognition (ATR) using AeroVironment’s Blue Hotel tactical grade computer vision and data analysis software package AeroVironment’s ...

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 ...

In a study published in Talanta, a research team led by Prof. WU Yuejin from Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) developed a data fusion strategy based on ...

Multi-layered defense architectures frequently create significant sensor integration and performance problems due to the layered structure itself. While the concept of “defense in depth” sounds ...