Stone Soup: Announcement of Beta Release of an Open-Source Framework for Tracking and State Estimation

摘要

Tracking and state estimation technologies are used in a variety of domains that include astronomy, air surveil-lance, maritime situational awareness, biology, and the internet. Algorithms for tracking and state estimationare becoming increasingly complex and it is diffcult for researchers and skilled practitioners to implement andsystematically evaluate these state-of-the-art algorithms. System designers also need to objectively assess theperformance of algorithms against operational requirements, and tools to conveniently perform such systematicassessment 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 trackingand 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 frameworkto develop their own algorithms, set up experiments with real-world data, and evaluate algorithms.