Algorithm and AI Solutions Publications
Data Fusion and Tracking
- M.E. Silbert and C.S. Agate, “New Metrics for Quantifying Data Association Performance,” 17th International Conference on Information Fusion (Salamanca, Spain), July 2014.
- C.S. Agate, C.S. Ahn, and D.E. Beckman, “Modeling and Resolving Tracking Ambiguities Using Features for Long-Term Tracking,” Proceedings of the SPIE Conference on Intelligent Computing: Theory and Applications IV (Orlando, FL), vol. 6229, April 2006.
- A. P. Brown, K. J. Sullivan, and D. J. Miller, “Feature-aided Multiple Target Tracking in the Image Plane,” Proceedings of the SPIE Conference on Intelligent Computing: Theory and Applications IV (Orlando, FL), vol. 6229, April 2006.
- C.S. Agate, R.M. Wilkerson, and K.J. Sullivan, “Utilizing Negative Information to Track Ground Vehicles through Move-Stop-Move Cycles,” Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition XIII (Orlando, FL), vol. 5429, April 2004.
- K.J. Sullivan, C.S. Agate, and D.E. Beckman, “Feature-aided Tracking of Ground Targets using a Class-Independent Approach,” Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition XIII (Orlando, FL), vol. 5429, April 2004.
- K. Ezal, C.S. Agate, “Tracking and Interception of Ground-based RF Sources Using Autonomous Guided Munitions with Passive Bearings-only Sensors and Tracking Algorithms”, Proceedings of the 2004 SPIE, Defense and Security Symposium, April 2004.
- C.S. Agate and K.J. Sullivan, “Road-Constrained Target Tracking and Identification Using a Particle Filter,” Proceedings of the SPIE Conference on Signal and Data Processing of Small Targets (San Diego, CA), vol. 5204, pp. 532-543, August 2003.
- C.S. Agate and K.J. Sullivan, “Particle Filtering for Tracking Multiple, Road-Constrained Targets,” Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition XII (Orlando, FL), vol. 5096, pp. 256-266, April 2003.
- C.S. Agate and K.J. Sullivan, “Signature-Aided Tracking Using Association Hypotheses,” Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition XI (Orlando, FL), vol. 4729, pp. 44-55, April 2002.
Decision & Control
- Ravaioli, U. J., Cunningham, J., McCarroll, J., Gangal, V., Dunlap, K., & Hobbs, K. L. Safe reinforcement learning benchmark environments for aerospace control systems. In 2022 IEEE Aerospace Conference (AERO) (pp. 1-20). IEEE. March 2022.
- Robinette, P. K., Heiner, B. K., Ravaioli, U., Hamilton, N., Johnson, T. T., & Hobbs, K. L. Reinforcement Learning Heuristics for Aerospace Control Systems. In 2022 IEEE Aerospace Conference (AERO) (pp. 1-12). IEEE. March 2022.
- G. E. Collins, C. R. Stankevitz, and J. Liese. “Implementation of a Sensor Guided Flight Algorithm for Target Tracking by Small UAS”, Proceedings of the SPIE Conference on Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR II (Orlando, FL), vol. 8047, April 2011.
- G. E. Collins. “An automatic UAV search, intercept, and follow algorithm for persistent surveillance”, Proceedings of the SPIE Conference on Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR (Orlando, FL), vol. 7694, April 2010.
- G. E. Collins, M. R. Meloon, K. J. Sullivan, and J. M. Chinn, “An Entropy-based Approach to Wide Area Surveillance”, Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition XV (Orlando, FL), vol. 6235, April 2006.
Embedded Systems
- R. E. Cagley and S. A. McNally and M. R. Wiatt, “Dynamic Channel Allocation for Dynamic Spectrum Use in Wireless Sensor Networks”, in Proc. Military Communications Conference, Washington, D. C., Oct. 2006.
Signal and Image Processing
- Abhejit Rajagopal, Jason Hilton, David Boutte, Andrew P. Brown, Jan R. Jamora, “Enhanced compressed sensing 3D SAR imaging via cross-modality EO-SAR joint-sparsity priors,” Proc. SPIE 12520, Algorithms for Synthetic Aperture Radar Imagery, June 13, 2023
- Rajagopal, A., Stier, N., Nelson, W., Chandrasekaran, S., and Brown, A. P., “DeepOSM-3D: Recognition in Aerial LiDAR RGBD Imagery,” Geospatial Informatics X. Vol. 11398, International Society for Optics and Photonics, 2020.
- Rajagopal, A., Chellappan, K., Chandrasekaran, S., and Brown, A. P., “A Machine Learning Pipeline for Automated Registration and Classification of 3D LIDAR Data,” Geospatial Informatics, Fusion, and Motion Video Analytics VII. Vol. 10199, International Society for Optics and Photonics, 2017.
- C. T. Agh, M. J. Buoni, A. P. Brown, “Laboratory Experimentation for Dim Signal Detection in Cluttered Optical Data”, Proceedings of the SPIE Conference on Optical Engineering and Applications: Infrared Remote Sensing and Instrumentation XXIII (San Diego, CA), vol. 9608, August 2015.
- J. Muncaster, G. Collins, J. Waltman, “Real-time automated detection, tracking, classification, and geolocation of dismounts using EO and IR FMV.” SPIE Defense+ Security. International Society for Optics and Photonics, 2015.
- B. T. Ludington, A. P. Brown, M. J. Sheffler, C.N. Taylor, S. Berardi, “Incorporating structure from motion uncertainty into image-based pose estimation.” SPIE Defense+ Security. International Society for Optics and Photonics, 2015.
- A. P. Brown, M. J. Sheffler, and K. E. Dunn, “Persistent Electro-Optical/Infrared Wide-Area Sensor Exploitation,” Proceedings of the SPIE Conference on Evolutionary and Bio-Inspired Computation: Theory and Applications VI (Orlando, FL), vol. 8402, May 2012.
- A. P. Brown, K. J. Sullivan, and D. J. Miller, “Feature-aided Multiple Target Tracking in the Image Plane,” Proceedings of the SPIE Conference on Intelligent Computing: Theory and Applications IV (Orlando, FL), vol. 6229, April 2006.
- D. E. Beckman, S. Frame, “Comparison of features from SAR and GMTI imagery of ground targets,” Proceedings of the SPIE Conference on Algorithms for Synthetic Aperture Radar Imagery X, vol. 5095, September 2003.
- M. Ressler, R. Williams, D. Gross, A. Palomino. “Bayesian Multi-Look Updating Applied to the SHARP ATR System”. Proceedings of SPIE AeroSense 2000 Conference on Algorithms for Synthetic Aperture Radar Imagery VII, vol. 4053, 2000.
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