A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

no code implementations • 12 May 2023 • Leo Pauly, Wassim Rharbaoui, Carl Shneider, Arunkumar Rathinam, Vincent Gaudilliere, Djamila Aouada

The primary goal of this survey is to describe the current DL-based methods for spacecraft pose estimation in a comprehensive manner.

Pose Estimation Spacecraft Pose Estimation

Lessons from a Space Lab -- An Image Acquisition Perspective

no code implementations • 18 Aug 2022 • Leo Pauly, Michele Lynn Jamrozik, Miguel Ortiz del Castillo, Olivia Borgue, Inder Pal Singh, Mohatashem Reyaz Makhdoomi, Olga-Orsalia Christidi-Loumpasefski, Vincent Gaudilliere, Carol Martinez, Arunkumar Rathinam, Andreas Hein, Miguel Olivares-Mendez, Djamila Aouada

From the lessons learned during the lab development, this article presents a systematic approach combining market survey and experimental analyses for equipment selection.

Leveraging Equivariant Features for Absolute Pose Regression

no code implementations • CVPR 2022 • Mohamed Adel Musallam, Vincent Gaudilliere, Miguel Ortiz del Castillo, Kassem Al Ismaeil, Djamila Aouada

While end-to-end approaches have achieved state-of-the-art performance in many perception tasks, they are not yet able to compete with 3D geometry-based methods in pose estimation.

Image Retrieval Pose Estimation +3

LSPnet: A 2D Localization-oriented Spacecraft Pose Estimation Neural Network

no code implementations • 19 Apr 2021 • Albert Garcia, Mohamed Adel Musallam, Vincent Gaudilliere, Enjie Ghorbel, Kassem Al Ismaeil, Marcos Perez, Djamila Aouada

Being capable of estimating the pose of uncooperative objects in space has been proposed as a key asset for enabling safe close-proximity operations such as space rendezvous, in-orbit servicing and active debris removal.

Pose Estimation Spacecraft Pose Estimation