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Proceedings Paper

Stone Soup: announcement of beta release of an open-source framework for tracking and state estimation
Author(s): David Last; Paul Thomas; Steven Hiscocks; Jordi Barr; David Kirkland; Mamoon Rashid; Sang Bin Li; Lyudmil Vladimirov
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Paper Abstract

Tracking and state estimation technologies are used in a variety of domains that include astronomy, air surveillance, maritime situational awareness, biology, and the internet. Algorithms for tracking and state estimation are becoming increasingly complex and it is difficult for researchers and skilled practitioners to implement and systematically evaluate these state-of-the-art algorithms. System designers also need to objectively assess the performance of algorithms against operational requirements, and tools to conveniently perform such systematic assessment have been lacking. Recognising this problem, an initiative was taken to create an open-source frame- work called Stone Soup", which would be used for the development, demonstration, and evaluation of tracking and state estimation algorithms. Stone Soup was made openly available in April 2019 as a beta version (V0.1b1). This paper introduces the Stone Soup framework and describes how users can take advantage of this framework to develop their own algorithms, set up experiments with real-world data, and evaluate algorithms.

Paper Details

Date Published: 7 May 2019
PDF: 12 pages
Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 1101807 (7 May 2019); doi: 10.1117/12.2518514
Show Author Affiliations
David Last, Air Force Research Lab. (United Kingdom)
Paul Thomas, Defence Science and Technology Lab. (United Kingdom)
Steven Hiscocks, Defence Science and Technology Lab. (United Kingdom)
Jordi Barr, Defence Science and Technology Lab. (United Kingdom)
David Kirkland, Defence Research and Development Canada (Canada)
Mamoon Rashid, Defence Research and Development Canada (Canada)
Sang Bin Li, Defence Research and Development Canada (Canada)
Lyudmil Vladimirov, Univ. of Liverpool (United Kingdom)


Published in SPIE Proceedings Vol. 11018:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII
Ivan Kadar; Erik P. Blasch; Lynne L. Grewe, Editor(s)

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