Sensor fusion has been around for many years and is ubiquitous in mobile device designs. Sensor fusion “fuses” data from different types of sensors to improve measurement accuracy, such as for motion ...

Although a lot of headlines in the automotive domain have been around LLMs (large language models), a significant part of automotive design relies on traditional machine learning (ML) workflows in ...

New patent further strengthens SaverOne’s growing IP portfolio of 23 patents and reflects the Company’s technological leadership in mobile communication detection and classification Petah Tikvah, ...

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 ...

In April 2026, Texas Instruments announced a collaboration with Lattice Semiconductor to pair TI sensing technologies with ...

As today’s internal-combustion engines are replaced by electric/electronic vehicles, mechanical-system sensors will be supplanted by numerous electronic sensors both for efficient operation and for ...

A new study introduces a probabilistic multi-modal depth estimation method that fuses raw camera and LiDAR data at a low level, producing dense and precise depth maps. Unlike conventional high-level ...

A new evaluation platform streamlines inertial sensor design with AI-driven analytics, real-time visualisation, and automated ...

MEMS sensors include accelerometers to measure linear acceleration and earth gravity vectors, gyroscopes to measure angular velocity, magnetometers to measure earth’s magnetic fields for heading ...

What is sensor fusion is and why is it the future for autonomous vehicles? What sensors are needed for sensor fusion. Different sensor architectures being utilized by vehicle manufacturers. Sensor ...