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 ...

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 ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Advanced Driver Assistance Systems and autonomous driving technologies have been gaining widespread adoption in recent years.

Multisensor data fusion is a key technology in modern systems. It unites data obtained by several sensors to obtain a more complete and accurate picture of an environment or situation. Networks that ...

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 ...

The study demonstrates that combining LiDAR, multispectral, and thermal infrared imaging with ensemble learning significantly enhances prediction accuracy, supporting smarter crop management.