Dr. Scott L. Nykl, Professor of Computer Science

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DSN: 986-5279
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Publications

Journals JOURNAL PUBLICATIONS IN PRINT / TO APPEAR:

18. D. WorthA, J. ChoateA, J. LynchA , S. Nykl, and C. N. TaylorF, “Relative Vector-
ing Using Dual Object Detection for Autonomous Aerial Refueling,” Journal of
Neural Computing and Applications, vol. 0, no. 0, 2024, URL: https://tbd

17. J. ChoateA, D. WorthA, S. Nykl, C. N. TaylorF , B. BorghettiF, and C. S. KabbanF ,
“An Analysis of Precision: Occlusion and Perspective Geometry’s Role in 6D
Pose Estimation,” Journal of Neural Computing and Applications, vol. 0, no. 0, 2023,
URL: https://tbd(accepted not published)

16. R. H. Yuan, C. N. Taylor, and S. Nykl, “Accurate covariance estimation for
pose data from iterative closest point algorithm,” NAVIGATION: Journal of
the Institute of Navigation, vol. 70, no. 2, 2023, URL: https://navi.ion.org/
content/70/2/navi.562

15. R. RaettigA, J. AndersonA, S. Nykl, and L. MerkleF, “Accelerated Point Set
Registration Method,” Journal of Defense Modeling and Simulation, vol. 0, no. 0,
pp. 1–12, Feb 2023, URL: https://doi.org/10.1177/15485129221150454

14. J. AndersonA , R. RaettigA , J. LarsonA , S. Nykl, C. TaylorF , and T. WischgollE,
“Delaunay Walk for Fast Nearest Neighbor: Accelerating Correspondence
Matching for ICP,” Machine Vision and Applications, vol. 33, no. 2, pp. 1–13,
Feb 2022, URL: https://doi.org/10.1007/s00138-022-01279-w

13. C. Arnold, S. Nykl, S. Graham , and R. Leishman, “Real-Time Structure from
Motion with Planar Homography Estimation: A Real-Time Low-Bandwidth
High-Resolution Variant for Aerial Reconnaissance, to Journal of Real-Time Im-
age Processing.” Journal of Defense Modeling and Simulation, pp. 1–12, December
2021, https://doi.org/10.1177/15485129211062880

12. J. Anderson , J. Miller, X. Wu , S. Nykl, C. Taylor , and W. Watkinson ,
“Real-Time Automated Aerial Refueling with Stereo Vision: Overcoming GNSS-
Denied Environments In or Near Combat Areas,” Inside GNSS, vol. 16, no. 4, pp.
32–41, 2021, https://insidegnss.com/real-time-automated-aerial-refueling-
with-stereo-vision-overcoming-gnss-denied-environments-in-or-near-
combat-areas/

11. K. Kim , R. Leishman, and S. Nykl, “Virtual Testbed for Monocular Visual
Navigation of Small Unmanned Aircraft Systems,” The Journal of Defense Mod-
eling and Simulation, pp. 1–19, Sep 2020, URL: https://doi.org/10.1177/1548512920954545

10. K. Graham, B. Heitmeyer, P. Patel, J. AndersonS, S. Nykl, L. Merkle , and
A. LinF , “Cyber Space Odyssey: A Competitive, Team-Oriented Serious Game in
Computer Networking,” IEEE Transactions on Learning Technologies, vol. 13, no. 3,
pp. 502–515, Jul 2020, URL: https://doi.org/10.1109/TLT.2020.3008607

9. A. LeeA,W. DallmannA, S. Nykl, C. TaylorF, and B. BorghettiF, “Long Range Pose Estimation for Aerial Refueling Approaches Using Deep Neural Networks,” AIAA: Journal of Aerospace Information Systems, vol. TBD, no. TBD, p. 1-12,
June 2020, URL: https://doi.org/10.2514/1.I010658

8. A. LeighnerO, J. RoeberA, P. PatelO, J. PecarinaE, and S. Nykl, “FPGA Accelerated
Discrete-SURF for Vision based Aerial Navigation,” Journal of DoD Research
& Engineering (JDR&E), vol. 3, no. 1, pp. 1–13, 2020

7. J. RoeberA, S. Nykl, and S. GrahamF, “Assessment of Structure from Motion for
Reconnaissance Augmentation and Bandwidth Usage Reduction,” The Journal
of Defense Modeling and Simulation, vol. 17, no. 2, pp. 213–225, 2020, URL: https://doi.org/10.1177/1548512919844021

6. C. ParsonsA, Z. PaulsonA, S. Nykl, W. DallmanA, B. G. WoolleyF, and
J. PecarinaF, “Analysis of Simulated Imagery for Real-Time Vision-Based Automated
Aerial Refueling,” AIAA: Journal of Aerospace Information Systems, vol. 16,
no. 3, pp. 77–93, Jan 2019, URL: https://doi.org/10.2514/1.I010658

5. Z. PaulsonA, S. Nykl, J. PecarinaF, and B.WoolleyF, “Mitigating the Effects of
Boom Occlusion on Automated Aerial Refueling through Shadow Volumes,”
The Journal of Defense Modeling and Simulation, vol. 16, no. 2, pp. 175–189, 2018,
URL: https://doi.org/10.1177/1548512918808408

4. Becherer, Nicholas and Pecarina, John and Nykl, Scott and Hopkinson, Kenneth, “Improving optimization of convolutional neural networks through parameter fine-tuning,” Neural Computing and Applications, Nov 2017

3. D. T. Johnson, S. Nykl, and J. Raquet, “Combining Stereo Vision and Inertial Navigation for Automated Aerial Refueling,” Journal of Guidance, Control, and Dynamics, vol. 40, no. 9, pp. 2250–2259, May 2017

2. W. YoungE, S. Nykl**, G. WeckmanE, and D. ChelbergE, “Using Voronoi Diagrams to Improve Classification Performances When Modeling Imbalanced Datasets,” Neural Computing and Applications, vol. 26, no. 5, 2015

1. S. Nykl**, C. MourningS, and D. ChelbergE, “Interactive Mesostructures with Volumetric Collisions,” Visualization and Computer Graphics, IEEE Transactions on, vol. 20, no. 7, pp. 970–982, July 2014

BOOK CHAPTERS AUTHORED:

2. K. BentjenO, S. GrahamF, S. Nykl, and P. SimonO, “Introducing Persistent
Human Control into a Reservation-Based Autonomous Intersection Protocol,”
in Critical Infrastructure Protection XII, J. Staggs and S. Shenoi, Eds. New York
City: Springer, Feb 2019, ISBN: 978-3-030-04537-1

1. C. WolfeO, S. GrahamF, R. MillsF, and S. Nykl, “Securing Data-in-Transit for
Power-Limited Sensor Networks using Two-Channel Communication,” in Critical
Infrastructure Protection XII, J. Staggs and S. Shenoi, Eds. New York City:
Springer, Feb 2019, ISBN: 978-3-030-04537-1

Patents PATENTS PENDING AT US PATENT OFFICE:

2. C. Mourning and S. Nykl, “Reduction of Sensor Captured Data Streamed to an Operator,” U.S. Patent 9,756,280, September 5, 2017

1. S. Nykl and C. Mourning, “Wake Turbulence Analyzer for Real-Time Visualization, Detection, and Avoidance,” U.S. Patent 9,709,698, July, 2017

PENDING PATENTS PENDING:
1. S. Nykl, B. Woolley, and J. Pecarina, “Stereo Vision Relative Navigation of
Airborne Vehicles,” U.S. Patent Pending 62/886,550, August, 2019

Conf Full CONFERENCE PUBLICATIONS IN PRINT / TO APPEAR (REFEREED FULL PAPER):

22. J. ChoateA and S. Nykl, “Improving 6D Localization with Rigid Body Prediction
of Off-image Features,” in AIAA SCITECH 2024 Forum, URL: https:
//arc.aiaa.org/doi/abs/10.2514/6.2024-1299

21. R. H. YuanO , C. N. TaylorF, and S. Nykl, “Accurate covariance estimation for
pose data from iterative closest point algorithm,” in Proceedings of the 2021
International Technical Meeting of The Institute of Navigation, 2021, pp. 766–774

20. B. GarlandO#, D. D. HodsonF , S. Nykl, R. DillF , and M. GrimailaF , “ECS Ar-
chitecture for Modern Military Simulators,” in Proceedings of the International
Conference on Computational Science and Computational Intelligence. International
Conference on Computational Science and Computational Intelligence, Dec
2020, pp. 118–122

19. K. SarantsevO# , C. TaylorF , and S. Nykl, “Effects of Stereo Vision Camera Posi-
tioning on Relative Navigation Accuracy,” in Proceedings of the 2020 International
Technical Meeting of The Institute of Navigation, ser. ION ITM ’20. San Diego,
CA, USA: Institute of Navigation, Jan 2020, URL: https://doi.org/10.33012/
2020.17168

18. J. AndersonA#, S. Nykl, and T. WischgollE, “Augmenting Flight Imagery from
Aerial Refueling with a Virtual Boom to Test Occlusion,” in Advances in Visual
Computing: 12th International Symposium, ISVC 2019, Lake Tahoe, UT, USA, October
7-9, 2019, Proceedings, ser. Lecture Notes in Computer Science, G. Bebis, Ed.
Springer International Publishing, 2019, vol. 10073, pp. 605–615

17. J. A. VagedesO#, D. D. HodsonF, S. Nykl, and J. R. MillarF, “ECS Architecture
for Modern Military Simulators,” in Proceedings of the International Conference on
Scientific Computing (CSC). The Steering Committee of The World Congress in
Computer Science, 2019, pp. 118–122

16. B. BurfeindO#, R. MillsF, S. Nykl, J. BetancesF, and C. SielskiE, “Confidential
ADS-B: A Lightweight, Interoperable Approach,” in 2019 IEEE Aerospace Conference,
ser. IEEE Aerospace Conference. Big Sky, Montana: IEEE, 2019

15. N. SeydelA, W. DallmannA#, and S. Nykl, “Visualizing behaviors when using real vs synthetic imagery for computer vision,” in Proceedings of the 2018 International Conference on Scientific Computing, Las Vegas, NV, 2018

14. K. BentjenO#, S. GrahamF, and S. Nykl, “Modelling Misbehaviour in Automated Vehicle Intersections in a Synthetic Environment,” in 13th International Conference on Cyber Warefare and Security (ICCWS). ICCWS, March 2018

13. K. BentjenO#, S. GrahamF, and S. Nykl, “Introducing Persistent Human Control into a Reservation-Based Autonomous Intersection Protocol,” in International Conference of Critical Infrastructure Protection. IFIP, March 2018

12. C.WolfeO#, S. GrahamF, R. MillsF, S. Nykl, and P. SimonO, “Securing Data-in-Transit for Power-Limited Sensor Networks using Two-Channel Communication,” in International Conference of Critical Infrastructure Protection. IFIP, March 2018

11. C. ParsonsA and S. Nykl, “Real-Time Automated Aerial Refueling Using Stereo Vision,” in Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II, ser. Lecture Notes in Computer Science, G. Bebis, Ed. Springer International Publishing, 2016, vol. 10073, pp. 605–615

10. J. RobinsonU, M. PiekenbrockU, L. BurchettO, S. Nykl#, B.Woolley, and A. Terzuoli, “Real-Time Automated Aerial Refueling Using Stereo Vision,” in Advances in Visual Computing: 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part II, ser. Lecture Notes in Computer Science, G. Bebis, Ed. Springer International Publishing, 2016, vol. 10073, pp. 593–602

9. C. MourningS, S. Nykl**, and D. ChelbergE, “Disocclusion Mitigation for Image Based Point Cloud Imposters,” in Advances in Visual Computing, ser. Lecture Notes in Computer Science, 2014, vol. 8888, pp. 861–871

8. S. Nykl**, C. MourningS, and D. ChelbergE, “Interactive Mesostructures,” in Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, ser. I3D ’13, 2013, pp. 37–44

7. S. Nykl**, C. MourningS, E. NyklS, D. ChelbergE, and T. SkidmoreE, “JPALS Visualization Tool,” in Distributed Simulation and Real Time Applications (DS-RT), 2012 IEEE/ACM 16th International Symposium on, Oct 2012, pp. 3–10

6. S. Nykl**, C. MourningS, N. GhandiS, and D. ChelbergE, “A Flight Tested Wake Turbulence Aware Altimeter,” in Advances in Visual Computing, ser. Lecture Notes in Computer Science. Springer International Publishing, 2011, vol. 6939, pp. 219–228

5. C. MourningS, S. Nykl**, and D. ChelbergE, “An Analysis of Impostor Based Level of Detail Approximations for LIDAR Data,” in Advances in Visual Computing, ser. Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011, vol. 6939, pp. 637–646

4. C. MourningS, S. Nykl**, H. XuS, D. ChelbergE, and J. LiuE, “GPU Acceleration of Robust Point Matching,” in Advances in Visual Computing, ser. Lecture Notes in Computer Science, G. Bebis, Ed. Springer Berlin Heidelberg, 2010, vol. 6455, pp. 417–426

3. C. MourningS, S. Nykl**, D. ChelbergE, T. FranklinE, and C. LiuE, “An Overview of First Generation STEAMiE Learning Objects,” in Proceedings of EdMedia: World Conference on Educational Media and Technology 2009, G. Siemens and C. Fulford, Eds. Honolulu, HI, USA: Association for the Advancement of Computing in Education (AACE), June 2009, pp. 3748–3757

2. S. Nykl**, C. MourningS, M. LeitchS, D. ChelbergE, T. FranklinE, and C. LiuE, “An Overview of the STEAMiE Educational Game Engine,” in Frontiers in Education Conference, 2008. FIE 2008. 38th Annual, Oct 2008, pp. F3B–21–F3B–25

1. S. L. Nykl**, K. T. RieseS, and J. E. RundeS, “A GPS Guided Remote Controlled Truck,” in 39th Midwest Instruction and Computing Symposium (MICS ’06), ser. MICS ’06. Mt. Pleasant, IA, USA: Midwest Instruction and Computing Symposium, 2006

Conf Abstr CONFERENCE PUBLICATIONS IN PRINT / TO APPEAR (REFEREED ABSTRACT):

30. S. Nykl#, “Towards Automated Aerial Refueling – Probe-to-Drogue Relative
Vectoring using Monocular Computer Vision: An Analysis of 2023 Flight Test
Data,” in Proceedings of the Aerial Refueling Systems Advisory Group (ARSAG)),
ser. ARSAG ’24. Cleveland, OH, USA: ARSAG, 26 April 2024

29. A. OwensO#, L. BoydA#, and S. Nykl, “Automated Identification and Landing
on Runways in Austere Conditions via Computer Vision,” in Proceedings of the
PDF built 2024/06/11 at 15:14:40 25/33
Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’24.
Covington, KY, USA: Institute of Navigation, Jun 2024

28. R. StifflerA# and S. Nykl, “Maximum Range of Computer Vision for Aircraft
Classification,” in Proceedings of the Institute of Navigation (ION) Joint Naviga-
tion Conference (JNC), ser. ION JNC ’24. Covington, KY, USA: Institute of
Navigation, Jun 2024

27. S. HansonA#, L. WeinfurtnerA#, and S. Nykl, “An Analysis of Relative Pose
Estimation from Monocular Flight Imagery of Aerial Refueling,” in Proceedings
of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION
JNC ’24. Covington, KY, USA: Institute of Navigation, Jun 2024

26. J. ChoateA# and S. Nykl, “Utilizing Asymmetric Aircraft Features for Highly
Occluded Position and Orientation Estimation,” in Proceedings of the Institute of
Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’24. Covington,
KY, USA: Institute of Navigation, Jun 2024

25. J. ChoateA# and S. Nykl, “Increasing CNN Findable Features in Imagery via
Labeling Obscured Features,” in Proceedings of the Institute of Navigation (ION)
Joint Navigation Conference (JNC), ser. ION JNC ’23. San Diego, CA, USA:
Institute of Navigation, Jun 2023

24. J. KrutzA# , A. NasiA , and S. Nykl, “Fast Multi-View 3D Reconstruction of Large
Objects with April Tag Calibration,” in Proceedings of the Institute of Navigation
(ION) Joint Navigation Conference (JNC), ser. ION JNC ’23. San Diego, CA, USA:
Institute of Navigation, Jun 2023

23. D. FriesenhahnA# , D. WorthA , and S. Nykl, “Improvements to Pose Estimation
for AAR with YOLO/Semantic Segmentation and Perspective-n-Point,” in
Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC),
ser. ION JNC ’23. San Diego, CA, USA: Institute of Navigation, Jun 2023

22. N. WilsonA#, X. WuA, and S. Nykl, “Using Motion Capture and Augmented
Reality to Test AAR with Drogue Occlusion,” in Proceedings of the Institute of
Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’22. San Diego,
CA, USA: Institute of Navigation, Jun 2022

21. J. ChoateA# and S. Nykl, “CNN Robustness of Simulation Versus Real Imagery
for Aerial Refueling,” in Proceedings of the Institute of Navigation (ION) Joint
Navigation Conference (JNC), ser. ION JNC ’22. San Diego, CA, USA: Institute
of Navigation, Jun 2022

20. D. WorthA#, J. LynchA , and S. Nykl, “Single-shot Pose Estimation for AAR
with YOLO and Perspective-n-Point,” in Proceedings of the Institute of Navigation
(ION) Joint Navigation Conference (JNC), ser. ION JNC ’22. San Diego, CA, USA:
Institute of Navigation, Jun 2022

19. A. NasiA#, J. MillerA , and S. Nykl, “Robust Computer Vision-based Pose Estima-
tion for Automated Aerial Refueling,” in Proceedings of the Institute of Navigation
(ION) Joint Navigation Conference (JNC), ser. ION JNC ’22. San Diego, CA, USA:
Institute of Navigation, Jun 2022

18. R. RaettigA#, J. MillerA#, and S. Nykl, “Aided Stereo Vision Calibration Process
for Automated Aerial Refueling,” in Proceedings of the Institute of Navigation
(ION) Joint Navigation Conference (JNC), ser. ION JNC ’21. Cincinnati, OH, USA:
Institute of Navigation, Aug 2021

17. J. LarsonA , J. LynchA#, and S. Nykl, “Convolutional Neural Networks to Im-
prove Pose Estimation in Automated Aerial Refueling,” in Proceedings of the
Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’21.
Cincinnati, OH, USA: Institute of Navigation, Aug 2021

16. V. BownesA , X. WuA# , and S. Nykl, “Using Augmented Reality to Test Boom
Occlusion Mitigation Methods in AAR,” in Proceedings of the Institute of Naviga-
tion (ION) Joint Navigation Conference (JNC), ser. ION JNC ’21. Cincinnati, OH,
USA: Institute of Navigation, Aug 2021

15. R. RaettigA# and S. Nykl, “Aided Stereo Vision Calibration Process for Automated
Aerial Refueling,” in Proceedings of the Institute of Navigation (ION) Joint
Navigation Conference (JNC), ser. ION JNC ’20. Cincinnati, OH, USA: Institute
of Navigation, Sept 2020

14. J. LarsonA# and S. Nykl, “Convolutional Neural Networks to Improve Pose
Estimation in Automated Aerial Refueling,” in Proceedings of the Institute of
Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’20. Cincinnati,
OH, USA: Institute of Navigation, Sept 2020

13. V. BownesA# and S. Nykl, “Using Augmented Reality to Test Boom Occlusion
Mitigation Methods in AAR,” in Proceedings of the Institute of Navigation (ION)
Joint Navigation Conference (JNC), ser. ION JNC ’20. Cincinnati, OH, USA:
Institute of Navigation, Sept 2020

12. A. LeeA# and S. Nykl, “Biologically Inspired Machine Learning to Improve
Automated Aerial Refueling Algorithms,” in Proceedings of the Institute of Navigation
(ION) Joint Navigation Conference (JNC), ser. ION JNC ’19. Long Beach,
CA, USA: Institute of Navigation, July 2019

11. B. FrenchA# and S. Nykl, “Determining Virtually Simulated Aerial Refueling
Fidelity using Physically Collected Stereo Vision Images and DGPS-based Truth
Data,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference
(JNC), ser. ION JNC ’19. Long Beach, CA, USA: Institute of Navigation, July
2019

10. M. CrowlA# and S. Nykl, “Use of LIDAR in Automated Aerial Refueling (AAR):
An Improvement over the Existing Stereo Vision System,” in Proceedings of the
Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’19.
Long Beach, CA, USA: Institute of Navigation, July 2019

9. C. ArnoldA# and S. Nykl, “Assessment of Computer Vision Techniques for Reconnaissance
Augmentation and Bandwidth Usage Reduction,” in Proceedings
of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION
JNC ’18. Long Beach, CA, USA: Institute of Navigation, July 2018

8. W. DallmannA# and S. Nykl, “Matching Simulated Boom Occlusion Data to
Truth Data for Automated Aerial Refueling,” in Proceedings of the Institute of
Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’18. Long
Beach, CA, USA: Institute of Navigation, July 2018

7. J. RoeberA# and S. Nykl, “Reducing C2 Bandwidth via Swarm-Based Real-time Three-Dimensional Model Synthesis,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’17. Dayton, OH, USA: Institute of Navigation, 2017

6. Z. PaulsonA# and S. Nykl, “Quantifying the Effect of Boom Occlusion on Relative Positioning for AAR,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’17. Dayton, OH, USA: Institute of Navigation, 2017

5. N. SeydelA# and S. Nykl, “Autonomous Aerial Refueling Flight Testing and Data Collection Engineering,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’17. Dayton, OH, USA: Institute of Navigation, 2017

4. L. Burchett, J. Robinson, M. Piekenbrock, S. Nykl, B.Woolley, and A. Terzuoli, “Automated aerial refueling: Parallelized 3d iterative closest point,” in IEEE NAECON, 2016, pp. 1–5

3. C. ParsonsA# and S. Nykl, “Relative Positioning for Automated Aerial Refueling Using Stereoscopic Imagery from Geometrically Accurate Real-Time Virtual Worlds,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’16. Dayton, OH, USA: Institute of Navigation, 2016

2. T. StuartA#, S. CalhounE#, and S. Nykl, “Integrity Monitoring for Stereo Vision-Based Automated Air Refueling,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’16. Dayton, OH, USA: Institute of Navigation, 2016

1. D. JohnsonA# and S. Nykl, “Fusion of Stereo Machine Vision with INS/GPS for Automated Aerial Refueling,” in Proceedings of the Institute of Navigation (ION) Joint Navigation Conference (JNC), ser. ION JNC ’16. Dayton, OH, USA: Institute of Navigation, 2016

Presentations and Posters - No Corresponding Paper:

8. J. LynchA# , , and S. Nykl, “Monocular Pose Estimation with CNNs and Solve
PnP,” in Consortium of Ohio Universities on Navigation & Timekeeping (COUNT),
March 2022

7. J. MillerA# , , and S. Nykl, “Mitigating Boom Occlusion Errors with ICP,” in
Consortium of Ohio Universities on Navigation & Timekeeping (COUNT), March
2022

6. X. WuA# , , and S. Nykl, “Virtual Testing of Drogue Occlusion,” in Consortium of
Ohio Universities on Navigation & Timekeeping (COUNT), March 2022

5. A. LeeA#, C. ArnoldA#, and S. Nykl, “Real Time Structure from Motion Using
Planar Homography Estimation,” in Consortium of Ohio Universities on Navigation
& Timekeeping (COUNT), April 2019

4. M. CrowlA#, B. FrenchA#, and S. Nykl, “Real Time Visual Rel-NAV Using EO
and LWIR for Automated Aerial Refueling,” in Consortium of Ohio Universities
on Navigation & Timekeeping (COUNT), April 2019

3. W. DallmannA# and S. Nykl, “Matching Simulated Boom Occlusion Data to Truth Data for Automated Aerial Refueling,” in Consortium of Ohio Universities on Navigation & Timekeeping (COUNT), April 2018 2. C. ArnoldA# and S. Nykl, “Bandwidth Reduction via Structure from Motion on
Remote Imaging Systems,” in Consortium of Ohio Universities on Navigation & Timekeeping (COUNT), April 2018

1. N. SeydelA#, Z. PaulsonA#, C. ParsonsA, and S. Nykl, “Real Time Automated Aerial Refueling using Synthetic Stereo Vision Imagery,” in Consortium of Ohio Universities on Navigation & Timekeeping (COUNT), April 2017

Other Publications PUBLISHED WORK NOT MENTIONED ABOVE:

2. S. Nykl**, “Interactive Mesostructures,” Ph.D. dissertation, Ohio University,December 2013

1. S. Nykl**, “High-Fidelity Distributed Physics for Continuous Interactive Virtual Worlds Using Server Clusters,” Master’s thesis, Ohio University, August 2008

Invited Talks TALKS, LECTURES, AND PRESENTATIONS NOT MENTIONED ABOVE:

9. S. Nykl# , “Real Time Computer Vision Pose Estimation for Autonomous Aerial
Refueling,” in Proceedings of the 2023 Institute of Navigation (ION) Dayton Section,
ser. ION Dayton ’23. Dayton, OH, USA: ION, 12 Oct 2023

 

8. S. Nykl# , “Using 3D Digital Twins for Computer Vision Research and Cyber
Education,” in Proceedings of the 2023 Dayton Digital Transformation Summit, ser.
DDTS ’23. Dayton, OH, USA: DDTS, 12 May 2023

7. D. Worth and S. Nykl# , “Towards Autonomous Aerial Refueling,” in Proceed-
ings of the Aerial Refueling Systems Advisory Group (ARSAG)), ser. ARSAG ’23.
Orlando, FL, USA: ARSAG, 27 April 2023

6. S. Nykl, “Using Virtual Worlds for Research and Teaching,” in AFIT Lunch ’n
Learn Lectures, ser. Lunch ’n Learn. Wright Patterson AFB, OH, USA: AFIT,
2021

5. S. Nykl# and C. TaylorF, “Automated Aerial Refueling using Visual RelNav
– Preliminary 2019 Flight Test Results,” in Proceedings of the Aerial Refueling
Systems Advisory Group (ARSAG)), ser. ARSAG ’19. Charlotte, NC, USA:
ARSAG, 11 April 2019

4. S. Nykl#, “Automated Aerial Refueling using Visual RelNav,” in Proceedings of the Aerial Refueling Systems Advisory Group (ARSAG)), ser. ARSAG ’17. Orlando, FL, USA: ARSAG, 27 April 2017

3. S. Nykl#, “AFRL/Boeing/AFIT Aerial Refueling Operator Automation,” Technology Lecture, TecEdge, Dayton, OH, USA, February 2017

2. T. StuartA# and S. Nykl, “Integrity Monitoring for Stereo Vision-Based Automated Air Refueling,” in Proceedings of the Society of Experimental Test Pilots Great Lakes Symposium (SETP), ser. SETP ’16. Wright Patterson AFB, OH, USA: SETP, 2016

1. S. Nykl#, “Automated Aerial Refueling: Towards Autonomy & Crew Reduction,” in Proceedings of the Aerial Refueling Systems Advisory Group (ARSAG)), ser. ARSAG ’16. Jacksonville, FL, USA: ARSAG, 21 April 2016

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