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Dive into the research topics where Andrew Vaughan is active.

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Featured researches published by Andrew Vaughan.


AIAA/AAS Astrodynamics Specialist Conference and Exhibit | 2008

Configuring the Deep Impact AutoNav System for Lunar, Comet and Mars Landing

Joseph E. Riedel; Robert A. Werner; Andrew Vaughan; Nickolaos Mastrodemos; Geoffrey Huntington; Christopher A. Grasso; Tseng-Chan Wang; David M. Myers; Robert A. Gaskell; David Bayard

JPL’s autonomous onboard optical navigation system – AutoNav which has been responsible for obtaining all of NASA’s close-up images of comet nuclei, is being expanded in capability to accomplish a host of much more advanced missions than even the spectacular impact with comet Tempel-1 on July 4, 2005 (Figure 1). Among the most important of these mission scenarios are those that require precision landing on the Moon, a comet, and Mars. Lunar missions, in particular, are high on NASA’s agenda; both manned and unmanned. AutoNav is being utilized at this stage as a platform for evaluating lunar landing navigation strategies, and for testing algorithms, and indeed is being extended to become an onboard AutoGNC (Guidance Navigation and Control) system, that is an integrated inertial position and attitude determination function. At the core of these strategies is the nature and form of the optical navigation techniques to be used. AutoNav is being integrated with a comprehensive system for surface modeling and landmark tracking called OBIRON (OnBoard Image Registration for Optical Navigation). OBIRON provides both the means of simulation and onboard processing for purposes of estimating spacecraft position and attitude. This paper will describe the system architecture of the AutoGNC landing configuration, and also the simulation platform that provides simulated sensor inputs to the AutoGNC system. During the landing, performance of the system was excellent, with meter-level knowledge and control achieved. This paper will provide an evaluation of these results, and the associated system and process, from trial simulated operation of the system during landings at the Moon and on a small body.


AIAA Guidance, Navigation, and Control Conference | 2010

Optical Navigation Plan and Strategy for the Lunar Lander Altair; OpNav for Lunar and other Crewed and Robotic Exploration Applications

Joseph E. Riedel; Andrew Vaughan; Robert A. Werner; Tseng-Chan Wang; Simon Nolet; David M. Myers; Nickolaos Mastrodemos; Allan Y. Lee; Christopher A. Grasso; Todd Ely; David Bayard

This paper reviews the currently planned Altair Optical Navigation (OpNav) system. The discussion includes description of the OpNav camera manifest. The Altair OpNav plan envisions one, OpNav camera assembly, with perhaps a functional backup that includes a wide angle-imager (of 40 deg to 60 deg field of view - FOV), and a narrow angle imager (of 1 to 3 deg FOV) co-mounted on a 2-degree-of-freedom gimbal. Both imagers are assumed to be relatively wide aperture and large dynamic range to provide excellent short-exposure images at mid-latitudes, and adequate images of longer-exposure near the poles. Landmark modeling and tracking methodology is discussed, including the stereophotoclinometry method assumed to be used to obtain high-accuracy terrain maps at lunar landing sites of 1 - 2 m, and 50 - 100 m elsewhere, using the images expected to be obtained from the Lunar Reconnaissance Orbiter (LRO). Characteristics of the OpNav navigation system are discussed and architecture and results from landing simulations presented, showing expected landing accuracies of better than 10m.


AIAA Guidance, Navigation, and Control Conference and Exhibit | 2006

AutoNav Mark3 : engineering the next generation of autonomous onboard navigation and guidance

Joseph E. Riedel; Shyam Bhaskaran; Dan B. Eldred; Robert A. Gaskell; Christopher A. Grasso; Brian Kennedy; Daniel Kubitscheck; Nickolaos Mastrodemos; Stephen P. Synnott; Andrew Vaughan; Robert A. Werner

The success of JPLs AutoNav system at comet Tempel-1 on July 4, 2005, demonstrated the power of autonomous navigation technology for the Deep Impact Mission. This software is being planned for use as the onboard navigation, tracking and rendezvous system for a Mars Sample Return Mission technology demonstration, and several mission proposals are evaluating its use for rendezvous with, and landing on asteroids. Before this however, extensive re-engineering of AutoNav will take place. This paper describes the AutoNav systems-engineering effort in several areas: extending the capabilities, improving operability, utilizing new hardware elements, and demonstrating the new possibilities of AutoNav in simulations.


Journal of Field Robotics | 2007

The challenges of deep impact autonomous navigation

Daniel G. Kubitschek; Nickolaos Mastrodemos; Robert A. Werner; Stephen P. Synnott; Shyam Bhaskaran; Joseph E. Riedel; Brian Kennedy; George W. Null; Andrew Vaughan

On July 4, 2005 at 05:44:34 UTC the Impactor spacecraft (s/c) impacted comet 9P/Tempel 1 with a relative speed of more than 10 km/s. The Flyby s/c captured the impact event, using both the medium resolution imager and the high resolution imager, and tracked the impact site for the entire observing period following impact. The objective of the Impactor s/c was to impact in an illuminated area viewable from the Flyby s/c and telemeter high-resolution context images of the impact site prior to impact. The Flyby s/c had two primary objectives: (1) capture the impact event in order to observe the ejecta plume expansion dynamics and (2) track the impact site for at least 800 s to observe the crater formation and capture high-resolution images of the fully developed crater. All of these objectives were met by estimating the trajectory of each spacecraft relative to 9P/Tempel 1 using the autonomous navigation system, precise attitude information from the attitude determination and control subsystem, and allowing each spacecraft to independently select the same impact site. This paper describes the challenges of targeting and tracking comet 9P/Tempel 1.


Archive | 2006

Deep Impact Autonomous Navigation : the trials of targeting the unknown

Daniel G. Kubitschek; Nickolaos Mastrodemos; Robert A. Werner; Brian Kennedy; Stephen P. Synnott; George W. Null; Shyam Bhaskaran; Joseph E. Riedel; Andrew Vaughan


Archive | 2010

Optical Navigation Plan and Strategy for the Lunar Lander Altair

Joseph E. Riedel; Andrew Vaughan; Robert A. Werner; Tseng-Chan Wang; Simon Nolet; David M. Myers; Nickolaos Mastrodemos; Allan Y. Lee; Christopher A. Grasso; Todd Ely; David Bayard


SpaceOps 2010 Conference: Delivering on the Dream (Hosted by NASA Marshall Space Flight Center and Organized by AIAA) | 2010

Reactive Sequencing for Autonomous Navigation Evolving from Phoenix Entry, Descent, and Landing

Christopher A. Grasso; Joseph E. Riedel; Andrew Vaughan


Archive | 2012

Optical Navigation for the Dawn Mission at Vesta

Nickolaos Mastrodemos; Brian Rush; Andrew Vaughan; W. M. Owen


AIAA SPACE 2016 | 2016

The Deep-space Positioning System Concept: Automating Complex Navigation Operations Beyond the Earth

Joseph R. Guinn; Joseph E. Riedel; Shyam Bhaskaran; Ryan S. Park; Andrew Vaughan; W. M. Owen; Todd Ely; Matthew Abrahamsson; Tomas J. Martin-Mur


Archive | 2010

Autonomous GN and C for Spacecraft Exploration of Comets and Asteroids

John M. Carson; Nickolaos Mastrodemos; David M. Myers; Behcet Acikmese; James C. Blackmore; Dhemetrio Moussalis; Joseph E. Riedel; Simon Nolet; Johnny T. Chang; Milan Mandic; Laureano Cangahuala; David S. Bayard; Andrew Vaughan; Tseng-Chan M. Wang; Robert A. Werner; Christopher A. Grasso; Gaskell W. Robert

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Joseph E. Riedel

California Institute of Technology

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Nickolaos Mastrodemos

California Institute of Technology

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Robert A. Werner

California Institute of Technology

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Brian Kennedy

California Institute of Technology

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Shyam Bhaskaran

California Institute of Technology

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Daniel G. Kubitschek

California Institute of Technology

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Stephen P. Synnott

California Institute of Technology

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George W. Null

California Institute of Technology

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Ryan Park

University of Southern California

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Todd Ely

California Institute of Technology

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