Sensor fusion is attracting attention as an effective solution for implementing more precise autonomous driving technology, but challenges remain.

The sensor fusion is taken care of with a Kalman filter, smoothed with the typical Rauch-Tung-Striebel (RTS) algorithm before being passed onto the final application.

The fusion library described uses accelerometer, magnetometer and gyroscope sensor signals to compensate for each others shortcomings and provides highly accurate, reliable and stable orientation data ...

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 ...

Learn how sensor fusion will make robotics safer and more capable by mimicking how humans process their surroundings with multiple senses.

AUSTIN, Texas – Analog Devices, Freescale, PNI Sensor Corp., and the MEMS Industry Group formed the Accelerated Innovation Community, a group dedicated to providing open-source algorithms for sensors.

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 ...

Pulin Desai, group director for product marketing, management and business development at Cadence, talks about challenges with sensor fusion, the growing importance of four-dimensional sensing, what’s ...