Data Science Seminar: How the Stone Soup framework can help accelerate and benchmark your work.

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Data Science Seminar

Are you a scientist or engineer who wants to develop, test and benchmark algorithms? Do you find yourself spending more time than you’d like comparing new algorithms with existing solutions rather than focusing on the most critical aspects of your problem?

Internal Event

An invitation - Data Science Seminar: How the Stone Soup framework can help accelerate and benchmark your work - Wednesday 16 March 2.00-3.30pm.

You are invited to a Stone Soup Show and Tell, introduced by Professor Simon Maskell and hosted by Dr Lyudmil Vladimirov.

The presentation will take place in Chadwick Building Seminar Room (Muspratt Lecture Theatre entrance) and for those not on campus, but wish to attend, we’ll include the presentation on MS Teams.

 

Title
Stone Soup: An open-source tracking and state estimation framework

Abstract
It is currently difficult and time consuming for academic researchers to recreate state-of-the-art tracking and state estimation algorithms to benchmark their work. Comparison of new algorithms with existing solutions involves recoding algorithms from the literature. Industrial users also find it difficult to assess which algorithms meet their, often quite varied, requirements.

The Stone Soup framework is designed to provide a flexible and unified software platform for researchers and engineers to develop, test and benchmark a variety of existing multi-sensor and multi-object estimation algorithms. It is also designed to allow rapid prototyping of new algorithms in high-level languages, both open and proprietary (e.g. Python, Matlab), as well as development in compiled languages (e.g. C++), by providing a set of libraries which implement the necessary functions for tracking and state estimation. It profits from the object-oriented principles of abstraction, encapsulation, and modularity, allowing users (beginners, practitioners, or experts) to focus only on the most critical aspects of their problem.

This aim of presentation will be to introduce attendees to Stone Soup’s basic components and how they fit together. As such, the presentation will begin with an outline of the most commonly used components, leading up to an example that utilises these components to perform an end-to-end simulation, and followed by closing notes and a Q&A session.

Please complete this form to confirm your attendance.

Or email Sara: da_cdt@liverpool.ac.uk