Publications


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ground robotics
J. Hardy, Campbell, M. E., Miller, I., and Schimpf, B., Sensitivity Analysis of an Optimization-Based Trajectory Planner for Autonomous Vehicles in Urban Environments, in SPIE Europe Conference on Unmanned/Unattended Sensors and Sensor Networks, 2008, vol. 7112, pp. 711211–711211–12.
J. Hardy, Campbell, M. E., Miller, I., and Schimpf, B., Sensitivity Analysis of an Optimization-Based Trajectory Planner for Autonomous Vehicles in Urban Environments, in SPIE Europe Conference on Unmanned/Unattended Sensors and Sensor Networks, 2008, vol. 7112, pp. 711211–711211–12.
Gaussian mixtures
N. Ahmed and Campbell, M. E., Fast Consistent Chernoff Fusion of Gaussian Mixtures for Ad Hoc Sensor Networks, IEEE Transactions on Signal Processing, vol. 60, pp. 6739–6745, 2012.
N. Ahmed, Sample, E. M., and Campbell, M. E., Bayesian Multicategorical Soft Data Fusion for Human–Robot Collaboration, IEEE Transactions on Robotics, vol. 29, pp. 189–206, 2013.
Gaussian mixture models
F. Havlak and Campbell, M. E., Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments, Robotics, IEEE Transactions on, vol. PP, pp. 1-14, 2013.
formation flying satellites
M. E. Campbell, Collision monitoring within satellite clusters, IEEE Transactions on Control Systems Technology, vol. 13, pp. 42–55, 2005.
formation flying
T. H. McLoughlin and Campbell, M. E., Scalable Sensing, Estimation, and Control Architecture for Large Spacecraft Formations, AIAA Journal of Guidance, Control, and Dynamics, vol. 30, pp. 289–300, 2007.
T. Schetter, Campbell, M. E., and Surka, D., Multiple agent-based autonomy for satellite constellations, Artificial Intelligence, vol. 145, pp. 147–180, 2003.
D. J. Zanon and Campbell, M. E., Formation Optimal Maneuvers Under Inertial Attitude Dynamics, AIAA Journal of Spacecraft and Rockets, vol. 47, pp. 295–307, 2010.
for terrain mapping that
J. R. Schoenberg and Campbell, M. E., Distributed Terrain Estimation Using a Mixture-Model Based Algorithm, in International Conference on Information Fusion, Seattle, WA, 2009, pp. 960–967.
field robots
J. Hardy and Campbell, M. E., Contingency planning over probabilistic hybrid obstacle predictions for autonomous road vehicles, IEEE Transactions on Robotics, vol. to be publ, 2013.
I. Miller and Campbell, M. E., Particle filtering for map-aided localization in sparse GPS environments, in IEEE International Conference on Robotics and Automation, Pasadena, CA, 2008, pp. 1834–1841.
F. Havlak and Campbell, M. E., Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments, Robotics, IEEE Transactions on, vol. PP, pp. 1-14, 2013.
extended objects
K. Wyffels and Campbell, M. E., Negative Information For Occlusion Reasoning In Dynamic Extended Multiobject Tracking, IEEE Transactions on Robotics, vol. 31, no. 2, pp. 425-442, 2015.
K. Wyffels and Campbell, M., Precision tracking via joint detailed shape estimation of arbitrary extended objects, IEEE Transactions on Robotics, vol. 33, no. 2, pp. 1-20, 2016.
K. Wyffels and Campbell, M., Priority-Based Tracking of Extended Objects, Journal of Advances in Information Fusion, vol. 12, no. 1, pp. 1-17, 2017.
estimation theory
N. Ahmed and Campbell, M. E., Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation, in IEEE International Conference on Robotics and Automation, 2010, pp. 186–191.
N. Ahmed, Sample, E. M., and Campbell, M. E., Bayesian Multicategorical Soft Data Fusion for Human–Robot Collaboration, IEEE Transactions on Robotics, vol. 29, pp. 189–206, 2013.
N. Ahmed, Schoenberg, J. R., and Campbell, M. E., Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion, in Robotics: Science and Systems, Sydney, Australia, 2012.
M. E. Campbell and Brunke, S., Square root sigma point filtering for real-time, nonlinear estimation, AIAA Journal of Guidance, Control, and Dynamics, vol. 27, pp. 314–317, 2004.
I. Miller and Campbell, M. E., Team Cornell's Skynet: Robust perception and planning in an urban environment, Journal of Field Robotics, vol. 25, pp. 493–527, 2008.
P. G. Otanez and Campbell, M. E., A locally most powerful detector for mode perturbation signatures, in IEEE Conference on Decision and Control, Cancun, Mexico, 2008, pp. 3211–3218.
P. G. Otanez and Campbell, M. E., Detection Methods for Mode Perturbation Signatures, IEEE Transactions on Automatic Control, vol. 57, pp. 2923–2928, 2012.

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