Advanced Driver Assistance Systems and autonomous driving technologies have been gaining widespread adoption in recent years.

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 ...

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

In the real world, multiple types of modal information originate from the external environment and interrelate to form a whole. Multi-modal data fusion technology integrates data from diverse sources ...

Though we’re mostly unaware of it, our senses relentlessly work together to guide us through the world. Our vision, hearing, and sense of touch and smell create mental images of the environment at ...

LeddarTech develops and provides comprehensive AI-based low-level sensor fusion and perception software solutions to enable the deployment of ADAS, autonomous driving and parking applications. The ...

What are the database management system (DBMS) requirements for complex real-time sensor data fusion? What application modifications are needed if a DBMS isn’t being used? Different definitions of ...

Multisensor data fusion is a key technology in modern systems. It unites data obtained by several sensors to obtain a more complete and accurate picture of an environment or situation. Networks that ...

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 ...