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 ...
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 ...
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 ...
“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) ...
To ensure near-zero latency when processing sensor data, Syslogic integrates NVIDIA’s Jetson Orin Nano System-on-Module (SoM) ...
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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