MathWorks Introduces Sensor Fusion and Tracking Toolbox, Added it to R2018b
NATICK, MA, USA, Dec 18, 2018 – MathWorks 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 fuse 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.
“Algorithm designers working on tracking and navigation systems often use in-house tools that may be difficult to maintain and reuse,” said Paul Barnard, Marketing Director – Design Automation, MathWorks. “With Sensor Fusion and Tracking Toolbox, engineers can explore multiple designs and perform ‘what-if analysis’ without writing custom libraries. They can also simulate fusion architectures in software that can be shared across teams and organizations.”
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 association 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 or desktop prototyping using C-code generation
To learn more about Sensor Fusion and Tracking Toolbox, visit: mathworks.com/products/sensor-fusion-and-tracking.html
MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world’s universities and learning institutions. Founded in 1984, MathWorks employs more than 4000 people in 16 countries, with headquarters in Natick, Massachusetts, USA. For additional information, visit mathworks.com.