Uploaded September 2025 | Updated September 2026, 2 weeks ago
Sensor Fusion and Tracking Toolbox™ includes tools for designing, simulating, validating, and deploying systems that fuse data from multiple sensors to maintain situational awareness and localization. Reference examples provide a starting point for multi-object tracking and sensor fusion development for surveillance and autonomous systems, including airborne, spaceborne, ground-based, shipborne, and underwater systems.
You can fuse data from real-world sensors such as active and passive radar, sonar, lidar, EO/IR, IMU, and GPS. To further test your tracking algorithms, you can use the simulation environment and sensor models. The toolbox also includes multi-object trackers and estimation filters for evaluating and validating various fusion architectures using track performance metrics such as OSPA and GOSPA.
For simulation acceleration, rapid prototyping, or deployment, the toolbox supports C/C++ code generation.
Learn more:
- Multi-Object Tracking with MATLAB and Simulink: bit.ly/3mMPH0s
- Understanding Sensor Fusion and Tracking: youtube.com/playlist?list=PLn8PRpmsu08ryYoBpEKzoMOveSTyS-h4a
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Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Sensor Fusion and Tracking Toolbox™ includes tools for designing, simulating, validating, and deploying systems that fuse data from multiple sensors to maintain situational awareness and localization. Reference examples provide a starting point for multi-object tracking and sensor fusion development for surveillance and autonomous systems, including airborne, spaceborne, ground-based, shipborne, and underwater systems.
You can fuse data from real-world sensors such as active and passive radar, sonar, lidar, EO/IR, IMU, and GPS. To further test your tracking algorithms, you can use the simulation environment and sensor models. The toolbox also includes multi-object trackers and estimation filters for evaluating and validating various fusion architectures using track performance metrics such as OSPA and GOSPA.
For simulation acceleration, rapid prototyping, or deployment, the toolbox supports C/C++ code generation.
Learn more:
- Multi-Object Tracking with MATLAB and Simulink: bit.ly/3mMPH0s
- Understanding Sensor Fusion and Tracking: youtube.com/playlist?list=PLn8PRpmsu08ryYoBpEKzoMOveSTyS-h4a
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2025 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
