Understanding Extended Object Tracking in Autonomous Navigation 🚗

See the other videos in this series: https://www.youtube.com/playlist?list=PLn8PRpmsu08rLRGrnF-S6TyGrmcA2X7kg
In many practical scenarios, there are other objects that may need to be observed and tracked in order to effectively navigate within an environment. This video will show extended object tracking—objects that return multiple sensor detections. It will cover a basic overview of extended object tracking, what makes it challenging, and briefly provide intuition around some of the algorithms that have been developed to solve the problem.

Check out these other references:
- Sensor Fusion and Tracking Tech Talk Series: https://www.youtube.com/playlist?list=PLn8PRpmsu08ryYoBpEKzoMOveSTyS-h4a
- (MATLAB Documentation) Multiple Extended Object Tracking: https://bit.ly/39k9lvQ
- (MATLAB Documentation) Partition Detections: https://bit.ly/2ZSDZcP
- (MATLAB Documentation) Extended Object Tracking and Performance Metrics Evaluation: https://bit.ly/2OWayQt
- Extended Object Tracking: Introduction, Overview, and Applications by Granstrom et al. https://arxiv.org/abs/1604.00970
- Random Finite Sets by Lennart Svensson. https://www.youtube.com/playlist?list=PLadnyz93xCLhFinI8NO30-1e6SwCGRTIM

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