STMicroelectronics and Leopard Imaging accelerate robotics vision with NVIDIA Jetson-ready multi-sensor moduleMultimodal module combining 2D ...
Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...
“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) ...
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 ...
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 ...
New research describes multimodal sensor fusion for AI-based fault detection in 3D printing.
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 ...
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 ...
Bengaluru-based spacetech startup GalaxEye Space has inked a pact with Innovations for Defence Excellence (iDEX) to build multi sensor fusion processing system for miniature satellites that would be ...
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 ...
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