Metrics for performance evaluation of elliptic extended object tracking methods
Paper in 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

University of Göttingen

M. Baum

University of Göttingen

Karl Granström

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

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.

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering



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