Metrics for performance evaluation of elliptic extended object tracking methods
Paper i proceeding, 2016

The objective of extended object tracking is to simultaneously track a target object and estimate its shape. As a consequence, it becomes necessary to incorporate both location and shape errors in the performance assessment of extended object tracking methods. In this work, we highlight the difficulties of selecting a proper metric for this purpose and discuss currently used metrics from literature. Furthermore, we suggest the Gaussian Wasserstein metric for comparing elliptic shapes and illustrate its advantages.


S. Yang

Georg-August-Universität Göttingen

M. Baum

Georg-August-Universität Göttingen

Karl Granström

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik

IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems


COPPLAR CampusShuttle cooperative perception & planning platform

VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.


Elektroteknik och elektronik



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