TDL-GNSS

Runzhi Hu November 11, 2025

A tightly coupled deep learning framework for GNSS.

This framework is built on pyrtklib and TASGNSS, designed to tightly integrate deep learning into the GNSS (Global Navigation Satellite System) processing workflow. For details, please refer to our official repository at TDL-GNSS.

You can access the preprint version of our paper on arXiv and the published version on IEEE Xplore. We would greatly appreciate it if you cite our work:

@ARTICLE{10965937, author={Hu, Runzhi and Xu, Penghui and Zhong, Yihan and Wen, Weisong}, journal={IEEE Transactions on Intelligent Transportation Systems}, title={pyrtklib: An Open-Source Package for Tightly Coupled Deep Learning and GNSS Integration for Positioning in Urban Canyons}, year={2025}, volume={26}, number={7}, pages={10652-10662}, keywords={Global navigation satellite system;Deep learning;Python;Artificial intelligence;Weight measurement;Satellites;Receivers;Mathematical models;Training;Position measurement;Artificial intelligence;deep learning;GNSS;RTKLIB}, doi={10.1109/TITS.2025.3552691}}