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.

Författare

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

Vol. 0 523-528

COPPLAR CampusShuttle cooperative perception & planning platform

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

Ämneskategorier

Elektroteknik och elektronik

DOI

10.1109/MFI.2016.7849541

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Senast uppdaterat

2024-07-12