activity
20182022
most citedSatellite Pose Estimation Challenge: Dataset, Competition Design and Results

300 citations · 682 across the 19 of their papers we have counts for

collaborators

19 papers

eess.SP2022

Autonomous Asteroid Characterization Through Nanosatellite Swarming

Kaitlin Dennison, Nathan Stacey, Simone D'Amico

This paper first defines a class of estimation problem called simultaneous navigation and characterization (SNAC), which is a superset of simultaneous localization and mapping (SLA…

math.OC2022★ 20 cited

Passively-Safe and Robust Multi-Agent Optimal Control with Application to Distributed Space Systems

Tommaso Guffanti, Simone D'Amico

This paper presents a novel methodology to enforce motion safety guarantees even in the event of a sudden loss of control capabilities by any agent within a multi-agent system. Thi…

cs.RO2022★ 62 cited

Adaptive Neural Network-based Unscented Kalman Filter for Robust Pose Tracking of Noncooperative Spacecraft

Tae Ha Park, Simone D'Amico

This paper presents a neural network-based Unscented Kalman Filter (UKF) to estimate and track the pose (i.e., position and orientation) of a known, noncooperative, tumbling target…

cs.CV2022★ 117 cited

Robust Multi-Task Learning and Online Refinement for Spacecraft Pose Estimation across Domain Gap

Tae Ha Park, Simone D'Amico

This work presents Spacecraft Pose Network v2 (SPNv2), a Convolutional Neural Network (CNN) for pose estimation of noncooperative spacecraft across domain gap. SPNv2 is a multi-sca…

cs.CV2021★ 3 cited

SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap

Tae Ha Park, Marcus Märtens, Gurvan Lecuyer +2

Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions. While computer vision in general has benefited f…

cs.RO2021★ 3 cited

Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases

Tae Ha Park, Juergen Bosse, Simone D'Amico

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 valida…

math.DS2021★ 15 cited

Analytical Process Noise Covariance Modeling for Absolute and Relative Orbits

Nathan Stacey, Simone D'Amico

This paper develops new analytical process noise covariance models for both absolute and relative spacecraft states. Process noise is always present when propagating a spacecraft s…

astro-ph.IM2021

Starshade Rendezvous: Exoplanet Orbit Constraints from Multi-Epoch Direct Imaging

Andrew Romero-Wolf, Geoffrey Bryden, Greg Agnes +9

The addition of an external starshade to the {\it Nancy Grace Roman Space Telescope} will enable the direct imaging of Earth-radius planets orbiting at 1 AU. Classification o…

astro-ph.IM2021

Starshade Rendezvous: Exoplanet Sensitivity and Observing Strategy

Andrew Romero-Wolf, Geoffrey Bryden, Sara Seager +33

Launching a starshade to rendezvous with the Nancy Grace Roman Space Telescope would provide the first opportunity to directly image the habitable zones of nearby sunlike stars in…

eess.SY2020★ 3 cited

Closed-Form Optimal Impulsive Control of Spacecraft Relative Motion Using Reachable Set Theory

Michelle Chernick, Simone D'Amico

This paper addresses the spacecraft relative orbit reconfiguration problem of minimizing the delta-v cost of impulsive control actions while achieving a desired state in fixed time…

eess.SP2020★ 27 cited

Autonomous Angles-Only Multi-Target Tracking for Spacecraft Swarms

Justin Kruger, Simone D'Amico

This paper presents a new algorithm for autonomous multitarget tracking of resident space objects using optical angles-only measurements from a spaceborne observer. To enable auton…

physics.space-ph2020★ 22 cited

Spacecraft Swarm Dynamics and Control About Asteroids

Corinne Lippe, Simone D'Amico

This paper presents a novel methodology to control spacecraft swarms about singleasteroids with arbitrary gravitational potential coefficients. This approach enablesthe use of smal…

cs.CV2019★ 300 cited

Satellite Pose Estimation Challenge: Dataset, Competition Design and Results

Mate Kisantal, Sumant Sharma, Tae Ha Park +3

Reliable pose estimation of uncooperative satellites is a key technology for enabling future on-orbit servicing and debris removal missions. The Kelvins Satellite Pose Estimation C…

math.DS2019★ 2 cited

Second-Order Solution for Relative Motion on Eccentric Orbits in Curvilinear Coordinates

Matthew Willis, Kyle T. Alfriend, Simone D'Amico

A new, second-order solution in curvilinear coordinates is introduced for the relative motion of two spacecraft on eccentric orbits. The second-order equations for unperturbed orbi…

eess.SP2019★ 43 cited

Adaptive and Dynamically Constrained Process Noise Estimation for Orbit Determination

Nathan Stacey, Simone D'Amico

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…

cs.CV2019★ 23 cited

Towards Robust Learning-Based Pose Estimation of Noncooperative Spacecraft

Tae Ha Park, Sumant Sharma, Simone D'Amico

This work presents a novel Convolutional Neural Network (CNN) architecture and a training procedure to enable robust and accurate pose estimation of a noncooperative spacecraft. Fi…

cs.CV2019★ 13 cited

Pose Estimation for Non-Cooperative Rendezvous Using Neural Networks

Sumant Sharma, Simone D'Amico

This work introduces the Spacecraft Pose Network (SPN) for on-board estimation of the pose, i.e., the relative position and attitude, of a known non-cooperative spacecraft using mo…

cs.CV2018

Pose Estimation for Non-Cooperative Spacecraft Rendezvous Using Convolutional Neural Networks

Sumant Sharma, Connor Beierle, Simone D'Amico

On-board estimation of the pose of an uncooperative target spacecraft is an essential task for future on-orbit servicing and close-proximity formation flying missions. However, two…

math.OC2018★ 29 cited

Fast Algorithm for Fuel-Optimal Impulsive Control of Linear Systems with Time-Varying Cost

Adam W. Koenig, Simone D'Amico

This paper presents a new fast and robust algorithm that provides fuel-optimal impulsive control input sequences that drive a linear time-variant system to a desired state at a spe…