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) ...

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 ...

So far this year, Tongli Technology has obtained 2 new patent authorizations, a decrease of 75% compared to the same period last year. Based on the company's mid-year financial data for 2025, the ...

A research team has developed advanced methodologies for predicting the aboveground biomass (AGB) of corn by integrating unmanned aerial vehicles (UAVs), multi-sensor data, and machine learning models ...

Achieving Second-Level Time Synchronization The core of this patent lies in the ability to receive second pulse signals from first-class sensors and data packets containing internal timestamps through ...

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 ...

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 ...