Sensor Data Fusion on Small Sats and Airborne Platforms: How Next Gen Technology can help Pipeline and Asset Operators ...
Sensor fusion typically implies the processing of sensor outputs for improved data for decision-making. However, different levels and interpretations of sensor fusion can make the topic rather ...
“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) ...
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 ...
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 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 ...
HVAC filter monitoring: Pressure sensors for differential pressure measurement to detect if the filter needs to be replaced. Door Open/Close in Industrial/Medical Facilities: In strong controlled ...
Whether it be smartphones, wearables, virtual reality headsets, or even robotic vacuum cleaners, today’s users expect and demand such devices to consistently behave as commanded, to smoothly and ...
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