MathWorks Introduces Sensor Fusion and Tracking Toolbox
MathWorks has introduced Sensor Fusion and Tracking Toolbox, which is now available as part of Release 2018b. The new toolbox equips engineers working on autonomous systems in aerospace and defense, automotive, consumer electronics, and other industries with algorithms and tools to maintain position, orientation, and situational awareness.
The toolbox extends MATLAB-based workflows to help engineers develop accurate perception algorithms for autonomous systems.
Engineers working on the perception stage of autonomous system development need to combine inputs from various sensors to estimate the position of objects around these systems.
Now, researchers, developers, and enthusiasts can use algorithms for localization and tracking, along with reference examples within the toolbox, as a starting point to implement components of airborne, ground-based, shipborne, and underwater surveillance, navigation, and autonomous systems. The toolbox provides a flexible and reusable environment that can be shared across developers. It provides capabilities to simulate sensor detections, perform localization, test sensor fusion architectures, and evaluate tracking results.
According to Paul Barnard, marketing director – design automation, MathWorks, in-house tools can be difficult to maintain and reuse but, using Sensor Fusion and Tracking Toolbox, engineers can explore multiple designs and perform “what-if analysis” without writing custom libraries. The software also allows them to simulate fusion architectures in software that can be shared with teams and throughout organizations.
To learn more about Sensor Fusion and Tracking Toolbox, go to www.mathworks.com/products/sensor-fusion-and-tracking.html.
For additional information, visit www.mathworks.com.