Publications


Found 269 results
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darpa urban challenge
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.
cooperative tracking
M. E. Campbell and Whitacre, W. W., Cooperative Tracking using Vision Measurements on SeaScan UAV's, IEEE Transactions on Control Systems Technology, vol. 15, pp. 613–626, 2007.
cooperative systems
M. E. Campbell and Whitacre, W. W., Cooperative Tracking using Vision Measurements on SeaScan UAV's, IEEE Transactions on Control Systems Technology, vol. 15, pp. 613–626, 2007.
cooperative estimation
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.
J. Ousingsawat and Campbell, M. E., On-line estimation and path planning for multiple vehicles in an uncertain environment, International Journal of Robust and Nonlinear Control, vol. 14, pp. 741–766, 2004.
Cooperative Decision Making.
F. Bourgault, Chokshi, A., Wang, J., Shah, D. C., Schoenberg, J. R., Iyer, R., Cedano, F., and Campbell, M. E., Scalable Bayesian human-robot cooperation in mobile sensor networks, in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, pp. 2342–2349.
F. Bourgault, Chokshi, A., Wang, J., Shah, D. C., Schoenberg, J. R., Iyer, R., Cedano, F., and Campbell, M. E., Scalable Bayesian human-robot cooperation in mobile sensor networks, in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, pp. 2342–2349.
F. Bourgault, Chokshi, A., Wang, J., Shah, D. C., Schoenberg, J. R., Iyer, R., Cedano, F., and Campbell, M. E., Scalable Bayesian human-robot cooperation in mobile sensor networks, in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, pp. 2342–2349.
cooperative control
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.
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.
Computer Vision
J. R. Schoenberg, Nathan, A., and Campbell, M. E., Segmentation of dense range information in complex urban scenes, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010, pp. 2033–2038.
collision probability
M. E. Campbell, Collision monitoring within satellite clusters, IEEE Transactions on Control Systems Technology, vol. 13, pp. 42–55, 2005.
Cognitive Human-Robot Interaction
D. C. Shah, Schneider, J., and Campbell, M. E., A robust sketch interface for natural robot control, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010, pp. 4458–4463.
Chernoff fusion
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.
bounded estimators
P. G. Otanez and Campbell, M. E., Detection Methods for Mode Perturbation Signatures, IEEE Transactions on Automatic Control, vol. 57, pp. 2923–2928, 2012.
P. G. Otanez and Campbell, M. E., Bounded Switched Linear Estimator for Smooth Nonlinear Systems, IEEE Transactions on Control Systems Technology, vol. 15, pp. 358–368, 2007.
bayesian networks
N. Ahmed and Campbell, M. E., Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables, IEEE Transactions on Signal Processing, vol. 59, pp. 3143–3154, 2011.
Bayesian methods
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.

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