pystemlib: towards an open-source tracking, state estimation, and mapping toolbox in Python

Emilie Altman; Peter Carniglia; Tatiana Gatsak; Bhashyam Balaji

doi:10.1117/12.2303767

27 April 2018 pystemlib: towards an open-source tracking, state estimation, and mapping toolbox in Python

Emilie Altman, Peter Carniglia, Tatiana Gatsak, Bhashyam Balaji

Proceedings Volume 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII; 106460K (2018) https://doi.org/10.1117/12.2303767
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Python State Estimation and Modeling Library, pystemlib, is a library that implements Bayesian State Estimation theory for modeling and tracking target objects. This library was developed to overcome the limitations associated with licensed programming languages as well as imperative and numerical matrix-based programming styles that were used in previously developed libraries. pystemlib incorporates object-oriented, functional, and symbolic programming to develop accurate and easy-to-use tracking filters and models. This library is also capable of mapping state estimation results onto the geographical areas to which they correspond. Future work on this library will include optimizing the algorithms for speed and extending the library to incorporate multi-target tracking, data fusion, and image and video processing.

Citation Download Citation

Emilie Altman, Peter Carniglia, Tatiana Gatsak, and Bhashyam Balaji "pystemlib: towards an open-source tracking, state estimation, and mapping toolbox in Python", Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 106460K (27 April 2018); https://doi.org/10.1117/12.2303767

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available