Perform sensor detection simulation and location tracking
Sensor fusion architecture testing is possible

MathWorks today announced the availability of Sensor Fusion and Tracking Toolbox in Release 2018b.
Engineers working on autonomous systems in aerospace and defense, automotive, consumer electronics, and other industries can use the new toolbox to equip themselves with algorithms and tools to maintain position, orientation, and situational awareness. Additionally, MATLAB-based workflows can be extended to develop accurate perception algorithms for autonomous systems.

Engineers responsible for the perception stage of autonomous system development must fuse inputs from various sensors to estimate the location of objects around the system.
Researchers and developers can now use algorithms for positioning and tracking, along with reference examples within the toolbox, as a starting point for implementing components of airborne, ground-based, ship-based, and underwater surveillance, navigation, and autonomous systems.

The new toolbox provides a flexible and reusable environment that can be shared between developers. Engineers can simulate sensor detection, perform localization, test sensor fusion architectures, and evaluate tracking results.

The Sensor Fusion and Tracking Toolbox includes:

▲Algorithms and tools to design, simulate, and analyze systems that fuse data from multiple sensors to maintain position, orientation, and situational awareness ▲Reference examples that provide a starting point for airborne, ground-based, shipborne, and underwater surveillance, navigation, and autonomous systems ▲Multi-object trackers, sensor fusion filters, motion and sensor models, and data correlation algorithms that can be used to evaluate fusion architectures using real and synthetic data ▲Scenario and trajectory generation tools ▲Synthetic data generation for active and passive sensors, including RF, acoustic, EO/IR, and GPS/IMU sensors ▲System accuracy and performance standard benchmarks, metrics, and animated plots ▲Deployment options for simulation acceleration using C code generation or for desktop prototyping.

“Algorithm designers working on tracking and navigation systems often use in-house tools that can be difficult to maintain and reuse,” said Paul Barnard, marketing director for design automation products at MathWorks. “Sensor Fusion and Tracking Toolbox enables engineers to explore multiple designs and perform ‘what-if analysis’ without having to write custom libraries.”

He added, "We can also simulate converged architectures in software that can be shared across teams and organizations."