State Estimation and Sensor Fusion methods covering filtering-based methods and learning-based approaches. A comprehensive introductory text on the subject, Sensor Fusion Approaches for Positioning, ...

Sensors are increasingly important in mobile devices. Sensor fusion allows designers to create virtual sensors that bridge what can be measured to what developers want to detect ...

State estimation error occurs due to the uncertainty of sensor measurements. By using multiple sensors fusion technical, the error can be bounded and reduced. T ...

Tracking of an Autonomous Robot Project is a project work of # ELEC-E8740 - Basics of sensor fusion D at Aalto University. This project involves designing an algorithm for tracking an autonomous ...

Sensor-fusion technology will enable an autonomous mobile robot to navigate safely through any environment by leveraging data collected from different sensors.

MathWorks has introduced the Sensor Fusion and Tracking Toolbox, which will now be available as part of Release 2018b.

Sensor fusion lies at the core of modern ADAS, combining data from cameras, LiDAR, radar, and ultrasonic sensors to create a unified perception of the vehicle’s surroundings. This multi-sensor ...

With the proper communication protocols and network architecture in place, smart sensor technology and the data it provides can be the bulwark on which digital transformation is built. If industrial ...

The fusion process is ultimately the intended by-product of advanced computing. A former Air Force chief scientist told me a few years ago that the F-35’s sensor fusion is in fact an early ...