27 April 2018 pystemlib: towards an open-source tracking, state estimation, and mapping toolbox in Python
Author Affiliations +
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emilie Altman, Peter Carniglia, Tatiana Gatsak, 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); doi: 10.1117/12.2303767; https://doi.org/10.1117/12.2303767
PROCEEDINGS
12 PAGES


SHARE
Back to Top