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Found 11 papers, 4 papers with code
Precise Distributed Satellite Navigation: Differential GPS with Sensor-Coupling for Integer Ambiguity Resolution
A loose coupling stage fuses through an Extended Kalman Filter the CDGPS measurements with on-board sensor measurements such as range from cross-links, and vision-based bearing angles.
Autonomous Asteroid Characterization Through Nanosatellite Swarming
A SNAC framework is then developed for the Autonomous Nanosatellite Swarming (ANS) mission concept to autonomously navigate about and characterize an asteroid including the asteroid gravity field, rotational motion, and 3D shape.
Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap
These tasks are all related to detection and pose estimation of a target spacecraft from an image, such as prediction of pre-defined satellite keypoints, direct pose regression, and binary segmentation of the satellite foreground.
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions.
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
This work presents the most recent advances of the Robotic Testbed for Rendezvous and Optical Navigation (TRON) at Stanford University - the first robotic testbed capable of validating machine learning algorithms for spaceborne optical navigation.
Autonomous Angles-Only Multi-Target Tracking for Spacecraft Swarms
This paper presents a new algorithm for autonomous multitarget tracking of resident space objects using optical angles-only measurements from a spaceborne observer.
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Reliable pose estimation of uncooperative satellites is a key technology for enabling future on-orbit servicing and debris removal missions.
Adaptive and Dynamically Constrained Process Noise Estimation for Orbit Determination
This paper introduces two new algorithms to accurately estimate the process noise covariance of a discrete-time Kalman filter online for robust orbit determination in the presence of dynamics model uncertainties.
Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft
It is also shown that when using the texture-randomized spacecraft images during training, regressing 3D bounding box corners leads to better performance on spaceborne images than regressing surface keypoints, as NST inevitably distorts the spacecraft's geometric features to which the surface keypoints have closer relation.
Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks
The SPN method then uses a novel Gauss-Newton algorithm to estimate the position by using the constraints imposed by the detected 2D bounding box and the estimated attitude.
Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks
Since reliable training of the CNN requires massive image datasets and computational resources, the parameters of the CNN must be determined prior to the mission with synthetic imagery.
