CVPR 2024 Open Access Repository

AI4Space 2024

Exploring AI-Based Satellite Pose Estimation: from Novel Synthetic Dataset to In-Depth Performance Evaluation: Fabien Gallet,

Christophe Marabotto,

Thomas Chambon; [pdf]
[bibtex]
@InProceedings{Gallet_2024_CVPR, author = {Gallet, Fabien and Marabotto, Christophe and Chambon, Thomas}, title = {Exploring AI-Based Satellite Pose Estimation: from Novel Synthetic Dataset to In-Depth Performance Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6770-6778} }
Deploying Machine Learning Anomaly Detection Models to Flight Ready AI Boards: James Murphy,

Maria Buckley,

Leonie Buckley,

Adam Taylor,

Jake O'brien,

Brian Mac Namee; [pdf]
[bibtex]
@InProceedings{Murphy_2024_CVPR, author = {Murphy, James and Buckley, Maria and Buckley, Leonie and Taylor, Adam and O'brien, Jake and Mac Namee, Brian}, title = {Deploying Machine Learning Anomaly Detection Models to Flight Ready AI Boards}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6828-6836} }
Monocular 6-DoF Pose Estimation of Spacecrafts Utilizing Self-iterative Optimization and Motion Consistency: Yunfeng Zhang,

Linjing You,

Luyu Yang,

Zhiwei Zhang,

Xiangli Nie,

Bo Zhang; [pdf]
[bibtex]
@InProceedings{Zhang_2024_CVPR, author = {Zhang, Yunfeng and You, Linjing and Yang, Luyu and Zhang, Zhiwei and Nie, Xiangli and Zhang, Bo}, title = {Monocular 6-DoF Pose Estimation of Spacecrafts Utilizing Self-iterative Optimization and Motion Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6847-6856} }
A Dual-Mode Approach for Vision-Based Navigation in a Lunar Landing Scenario: Luca Ostrogovich,

Roberto Del Prete,

Giuseppe Tomasicchio,

Nicolas Longepe,

Alfredo Renga; [pdf]
[bibtex]
@InProceedings{Ostrogovich_2024_CVPR, author = {Ostrogovich, Luca and Del Prete, Roberto and Tomasicchio, Giuseppe and Longepe, Nicolas and Renga, Alfredo}, title = {A Dual-Mode Approach for Vision-Based Navigation in a Lunar Landing Scenario}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6799-6808} }
Transformers for Orbit Determination Anomaly Detection and Classification: Nathan Parrish Ré,

Matthew Popplewell,

Michael Caudill,

Timothy Sullivan,

Tyler Hanf,

Benjamin Tatman,

Kanak Parmar,

Tyler Presser,

Sai Chikine,

Michael Grant,

Richard Poulson; [pdf]
[bibtex]
@InProceedings{Re_2024_CVPR, author = {R\'e, Nathan Parrish and Popplewell, Matthew and Caudill, Michael and Sullivan, Timothy and Hanf, Tyler and Tatman, Benjamin and Parmar, Kanak and Presser, Tyler and Chikine, Sai and Grant, Michael and Poulson, Richard}, title = {Transformers for Orbit Determination Anomaly Detection and Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6819-6827} }
CroSpace6D: Leveraging Geometric and Motion Cues for High-Precision Cross-Domain 6DoF Pose Estimation for Non-Cooperative Spacecrafts: Jianhong Zuo,

Shengyang Zhang,

Qianyu Zhang,

Yutao Zhao,

Baichuan Liu,

Aodi Wu,

Xue Wan,

Leizheng Shu,

Guohua Kang; [pdf]
[bibtex]
@InProceedings{Zuo_2024_CVPR, author = {Zuo, Jianhong and Zhang, Shengyang and Zhang, Qianyu and Zhao, Yutao and Liu, Baichuan and Wu, Aodi and Wan, Xue and Shu, Leizheng and Kang, Guohua}, title = {CroSpace6D: Leveraging Geometric and Motion Cues for High-Precision Cross-Domain 6DoF Pose Estimation for Non-Cooperative Spacecrafts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6857-6863} }
Robust Perspective-n-Crater for Crater-based Camera Pose Estimation: Sofia Mcleod,

Chee Kheng Chng,

Tatsuharu Ono,

Yuta Shimizu,

Ryodo Hemmi,

Lachlan Holden,

Matthew Rodda,

Feras Dayoub,

Hirdy Miyamoto,

Yukihiro Takahashi,

Yasuko Kasai,

Tat-Jun Chin; [pdf] [supp]
[bibtex]
@InProceedings{Mcleod_2024_CVPR, author = {Mcleod, Sofia and Chng, Chee Kheng and Ono, Tatsuharu and Shimizu, Yuta and Hemmi, Ryodo and Holden, Lachlan and Rodda, Matthew and Dayoub, Feras and Miyamoto, Hirdy and Takahashi, Yukihiro and Kasai, Yasuko and Chin, Tat-Jun}, title = {Robust Perspective-n-Crater for Crater-based Camera Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6760-6769} }
Tackling the Satellite Downlink Bottleneck with Federated Onboard Learning of Image Compression: Pablo Gómez,

Gabriele Meoni; [pdf]
[bibtex]
@InProceedings{Gomez_2024_CVPR, author = {G\'omez, Pablo and Meoni, Gabriele}, title = {Tackling the Satellite Downlink Bottleneck with Federated Onboard Learning of Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6809-6818} }
Optimized Martian Dust Displacement Detection Using Explainable Machine Learning: Ana Lomashvili,

Kristin Rammelkamp,

Olivier Gasnault,

Protim Bhattacharjee,

Elise Clavé,

Christoph H. Egerland,

Susanne Schröder,

Begüm Demir,

Nina L. Lanza; [pdf]
[bibtex]
@InProceedings{Lomashvili_2024_CVPR, author = {Lomashvili, Ana and Rammelkamp, Kristin and Gasnault, Olivier and Bhattacharjee, Protim and Clav\'e, Elise and Egerland, Christoph H. and Schr\"oder, Susanne and Demir, Beg\"um and Lanza, Nina L.}, title = {Optimized Martian Dust Displacement Detection Using Explainable Machine Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6779-6788} }
Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT: Miguel Ortiz Del Castillo,

Jonathan Morgan,

Jack Mcrobbie,

Clint Therakam,

Zaher Joukhadar,

Robert Mearns,

Simon Barraclough,

Richard Sinnott,

Andrew Woods,

Chris Bayliss,

Kris Ehinger,

Ben Rubinstein,

James Bailey,

Airlie Chapman,

Michele Trenti; [pdf] [arXiv]
[bibtex]
@InProceedings{Del_Castillo_2024_CVPR, author = {Del Castillo, Miguel Ortiz and Morgan, Jonathan and Mcrobbie, Jack and Therakam, Clint and Joukhadar, Zaher and Mearns, Robert and Barraclough, Simon and Sinnott, Richard and Woods, Andrew and Bayliss, Chris and Ehinger, Kris and Rubinstein, Ben and Bailey, James and Chapman, Airlie and Trenti, Michele}, title = {Mitigating Challenges of the Space Environment for Onboard Artificial Intelligence: Design Overview of the Imaging Payload on SpIRIT}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6789-6798} }
Revisiting the Domain Gap Issue in Non-cooperative Spacecraft Pose Tracking: Kun Liu,

Yongjun Yu; [pdf]
[bibtex]
@InProceedings{Liu_2024_CVPR, author = {Liu, Kun and Yu, Yongjun}, title = {Revisiting the Domain Gap Issue in Non-cooperative Spacecraft Pose Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6864-6873} }
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches: Yi Li,

Yunan Wu,

Aggelos K. Katsaggelos; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Yi and Wu, Yunan and Katsaggelos, Aggelos K.}, title = {Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {6837-6846} }