Real-time tightly coupled GNSS and IMU integration via Factor Graph Optimization

Radu-Andrei Cioaca, Paul Irofti, Cristian Rusu, Gianluca Caparra, Andrei-Alexandru Marinache +1 more
3/3/2026
cs.ROcs.LGeess.SY

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Abstract

Reliable positioning in dense urban environments remains challenging due to frequent GNSS signal blockage, multipath, and rapidly varying satellite geometry. While factor graph optimization (FGO)-based GNSS-IMU fusion has demonstrated strong robustness and accuracy, most formulations remain offline. In this work, we present a real-time tightly coupled GNSS-IMU FGO method that enables causal state estimation via incremental optimization with fixed-lag marginalization, and we evaluate its performance in a highly urbanized GNSS-degraded environment using the UrbanNav dataset.

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@article{cioaca2026realtime,
  title  = {Real-time tightly coupled GNSS and IMU integration via Factor Graph Optimization},
  author = {Radu-Andrei Cioaca and Paul Irofti and Cristian Rusu and Gianluca Caparra and Andrei-Alexandru Marinache and Florin Stoican},
  year   = {2026},
  eprint = {2603.03556},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2603.03556v1}
}

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