Publication Repository for "Zone-Based Indoor Localization from Incomplete RSSI Fingerprints via Missing Data Marginalization"

Authors: Leon Winheim, Daniel Frisch, and Uwe D. Hanebeck
Published at: FUSION26 Conference

Axis Aligned Gaussian Mixture.

Overview

• In this repo, you can find the code required to reproduce the experiments of the toy environment (including an implementation of the proposed Method) and evaluation scripts for the external dataset (not included)
• Install the requirements in the requirements.txt file and run the Python code on your machine!
• For questions, refer to leon.winheim@kit.edu

Citation and License

• This work is released under MIT License
• For citation, use:

@inproceedings{FUSION26_Winheim_Localization,
 address = {Trondheim, Norway},
 author = {Leon Winheim and Daniel Frisch and Uwe D. Hanebeck},
 booktitle = {Proceedings of the 29th International Conference on Information Fusion (FUSION 2026)},
 month = {June},
 pdf = {FUSION26_Winheim_Localization.pdf},
 title = {Zone-Based Indoor Localization from Incomplete RSSI Fingerprints via Missing Data Marginalization},
 year = {2026}
}