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.
Author
S. Yang
University of Göttingen
M. Baum
University of Göttingen
Karl Granström
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Published in
IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Vol. 0 p. 523-528
Research Project(s)
COPPLAR CampusShuttle cooperative perception & planning platform
VINNOVA (2015-04849), 2016-01-01 -- 2018-12-31.
Categorizing
Subject Categories (SSIF 2011)
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
DOI
10.1109/MFI.2016.7849541