Deep Learning-based Spacecraft Relative Navigation Methods: A Survey

19 August 2021

Papers citing "Deep Learning-based Spacecraft Relative Navigation Methods: A Survey"

33 / 33 papers shown

Title
Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection Lena M. Downes T. Steiner Jonathan P. How 42 20 0 15 Jul 2020
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks Shubham D. Sonawani R. Alimo Renaud Detry Daniel Jeong Andy Hess H. B. Amor 78 24 0 29 Jan 2020
The Final Frontier: Deep Learning in Space Vivek Kothari Edgar Liberis Nicholas D. Lane 45 82 0 27 Jan 2020
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft T. Park Sumant Sharma Simone DÁmico 52 70 0 01 Sep 2019
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement Bo Chen Jiewei Cao Álvaro Parra Tat-Jun Chin 59 128 0 30 Aug 2019
Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering Pedro F. Proença Yang Gao 79 150 0 09 Jul 2019
Understanding the Limitations of CNN-based Absolute Camera Pose Regression Torsten Sattler Qunjie Zhou Marc Pollefeys Laura Leal-Taixe SSL 74 384 0 18 Mar 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 126 4,054 0 25 Feb 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 100 2,668 0 29 Nov 2018
Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks Sumant Sharma C. Beierle Simone DÁmico 42 151 0 19 Sep 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 142 1,974 0 18 Sep 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 117 21,442 0 08 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 178 19,271 0 13 Jan 2018
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again Wadim Kehl Fabian Manhardt Federico Tombari Slobodan Ilic Nassir Navab 110 924 0 27 Nov 2017
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks Sen Wang R. Clark Hongkai Wen A. Trigoni 69 782 0 25 Sep 2017
Network of Nano-Landers for In-Situ Characterization of Asteroid Impact Studies H. Kalita E. Asphaug S. Schwartz J. Thangavelautham 24 12 0 09 Sep 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,837 0 17 Apr 2017
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth Mahdi Rad Vincent Lepetit 51 782 0 31 Mar 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization Xun Huang Serge J. Belongie OOD 177 4,359 0 20 Mar 2017
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 738 37,846 0 20 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 269 11,152 0 14 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,247 0 23 Feb 2016
Crater Detection via Convolutional Neural Networks Joseph Paul Cohen Henry Z. Lo Tingting Lv Wei Ding 40 51 0 05 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 499 62,270 0 04 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 308 4,174 0 26 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and Description Jeff Donahue Lisa Anne Hendricks Marcus Rohrbach Subhashini Venugopalan S. Guadarrama Kate Saenko Trevor Darrell VLM 162 6,052 0 17 Nov 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 457 43,649 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,348 0 04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 271 14,710 0 20 Jun 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 413 43,638 0 01 May 2014