D. Gaylor

发表

Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks Roberto

R. Linares, D. Gaylor, 2016 .

Hardware-In-The-Loop Testing of Continuous Control Algorithms for a Precision Formation Flying Demonstration Mission

John Higinbotham, Bo J. Naasz, David Gaylor, 2004 .

RSO Feature Identification Using Hierarchical Mixtures of Experts

Ryan P. Russell, David Gaylor, J. Anderson, 2013 .

Ballistic Coefficient Prediction for Resident Space Objects

R. Russell, D. Gaylor, Nitin Arora, 2012 .

Resident Space Object Feature Identification and Attitude Detection using Hierarchical Mixtures of Experts

D. Gaylor, Jessica T. Anderson, Angelica Ceniceros, 2016 .

ALGORITHMS FOR SAFE SPACECRAFT PROXIMITY OPERATIONS

Brent W. Barbee, David Gaylor, B. Barbee, 2007 .

GPS/INS Kalman filter design for spacecraft operating in the proximity of the international space station

E. Glenn Lightsey, David E. Gaylor, E. Lightsey, 2003 .

Design of spacecraft missions to remove multiple orbital debris objects

Salvatore Alfano, Elfego Pinon, David Gaylor, 2011, 2011 Aerospace Conference.

Guidance, navigation, and control performance for the GOES-R spacecraft

Alexander Krimchansky, Jim Chapel, Tim Bevacqua, 2015, CEAS Space Journal.

Effects of multipath and signal blockage on GPS navigation in the vicinity of the International Space Station (ISS)

Kevin W. Key, David Gaylor, E. G. Lightsey, 2003 .

Resident Space Object Characterization and Behavior Understanding via Machine Learning and Ontology-based Bayesian Networks

Roberto Furfaro, Richard Linares, Moriba K. Jah, 2016 .

Assessing the IADC Space Debris Mitigation Guidelines: A Case for Ontology-based Data Management

Roberto Furfaro, V. Reddy, Moriba K. Jah, 2016 .

A New Approach to Space Domain Awareness at the University of Arizona

Mihai Surdeanu, Roberto Furfaro, Eric A. Butcher, 2016 .