Check out the other videos in the series:
Part 1 - What Is Sensor Fusion?:
https://youtu.be/6qV3YjFppuc
Part 2 - Fusing an Accel, Mag, and Gyro to Estimation Orientation:
https://youtu.be/0rlvvYgmTvI
Part 3 - Fusing a GPS and IMU to Estimate Pose:
https://youtu.be/hN8dL55rP5I
Part 4 - Tracking a Single Object With an IMM Filter:
https://youtu.be/hJG08iWlres
Part 5 - How to Track Multiple Objects at Once:
https://youtu.be/IIt1LHIHYc4
Gain insights into track-level fusion, the types of tracking situations that require it, and some of the challenges associated with it.
You’ll see two different tracking architectures—track-to-track fusion and central-level tracking—and learn the benefits of choosing one architecture over the other.
Additional Resources:
- Introduction to Track-to-Track Fusion: https://bit.ly/3b4w3ZF
- Track-to-track fusion example (MathWorks): https://bit.ly/3jzAPSj
- Comparative Study of Track-to-Track Fusion Methods for Cooperative Tracking with Bearings-Only Measurements (PDF): https://isas.iar.kit.edu/pdf/MFI19_Radtke.pdf
- Covariance Intersection in State Estimation of Dynamical Systems (PDF): https://isas.iar.kit.edu/pdf/Fusion14_Ajgl.pdf
- Download ebook: Multi-Object Tracking for Autonomous Systems and Surveillance Systems: https://bit.ly/2QKHAUZ
- Download white paper: Sensor Fusion and Tracking for Autonomous Systems: https://bit.ly/2EEAazN
- Free Trial – Sensor Fusion and Tracking Toolbox: https://bit.ly/2EC7uHV
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