← Back to list of papers of the 2026 EuroGNC conference

CEAS EuroGNC 2026

Performance Assessment of AI-driven relative pose estimation algorithms: YOLO vs CenterPose
Luis Rueda PhD Candidate, Universidad Rey Juan Carlos, Madrid, Spain.
Hodei Urrutxua Associate Professor, Universidad Rey Juan Carlos, Madrid, Spain.
Xin Chen Assistant Professor, Universidad Rey Juan Carlos, Madrid, Spain.
Miguel Leiva PhD Candidate, Universidad Politécnica de Madrid, Madrid, Spain.
Manuel Sanjurjo Full Professor, Universidad Carlos III de Madrid, Madrid, Spain.
Abstract:
Keywords: Relative pose estimation; Deep learning; Optical navigation; YOLO; CenterPose; Active Debris Removal; Proximity operations
 View PDF CEAS-GNC-2026-075 doi: 10.82124/CEAS-GNC-2026-075


Luis Rueda, Hodei Urrutxua, Xin Chen, Miguel Leiva, Manuel Sanjurjo: Performance Assessment of AI-driven relative pose estimation algorithms: YOLO vs CenterPose. Proceedings of the 2026 CEAS EuroGNC conference. Madrid, Spain. May 2026. doi: 10.82124/CEAS-GNC-2026-075.
BibTeX entry (UTF-8):

@Incollection{CEAS-GNC-2026-075,
    author = {Rueda, Luis and Urrutxua, Hodei and Chen, Xin and Leiva, Miguel and Sanjurjo, Manuel},
    title = {Performance Assessment of AI-driven relative pose estimation algorithms: YOLO vs CenterPose},
    booktitle = {Proceedings of the 2026 {CEAS EuroGNC} conference},
    address = {Madrid, Spain},
    month = may,
    year = {2026},
    doi = {10.82124/CEAS-GNC-2026-075}
}