At the 2017 Hackaday Superconference, [Christal] spoke about sensor fusion. If you’ve done systems that have multiple sensors, you’ve probably run into that before even if you didn’t call it ...

Multisource information fusion is a sophisticated estimation process that allows users to assess complex situations more accurately by effectively combining core evidence in the massive, diverse and ...

A high-precision, multi-axis Hall-sensor design, such as the TI TMAG5170 high-precision, linear 3D Hall-effect sensor, is needed to deliver highly accurate, real-time data from the motors in the ...

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 ...

Pivot makes this possible by incorporating an accelerometer, gyroscope, and magnetometer to process up to 1,000 data samples per second for each sensor. A patented wireless and sensor fusion ...

Sensor fusion issues One of the big problems in sensor fusion is competing software architectures. That includes everything from AUTOSAR adaptive to open-source software like Autoware, proprietary ...

Sensor characterization is the process of taking measurements from a sensor under controlled conditions. These measurements can be used to fine-tune how the sensor reacts to various temperatures, ...