Publications


Found 149 results
2012
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, 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.
D. J. Lee and Campbell, M. E., Iterative smoothing approach using Gaussian mixture models for nonlinear estimation, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Vilamoura, Algarve, Portugal, 2012, pp. 2498–2503.
J. R. Schoenberg, Campbell, M. E., and Miller, I., Posterior representation with a multi-modal likelihood using the gaussian sum filter for localization in a known map, Journal of Field Robotics, vol. 29, pp. 240–257, 2012.
M. McClelland, Estlin, T., and Campbell, M. E., Qualitative Relational Mapping for Robotic Navigation, in AIAA Infotech@Aerospace, 2012.
I. Miller and Campbell, M. E., Sensitivity Analysis of a Tightly-Coupled GPS/INS System for Autonomous Navigation, IEEE Transactions on Aerospace and Electronic Systems, vol. 48, pp. 1115–1135, 2012.
D. C. Shah, Schneider, J., and Campbell, M. E., A Sketch Interface for Robust and Natural Robot Control, Proceedings of the IEEE, vol. 100, pp. 604–622, 2012.
R. Tse, Ahmed, N., and Campbell, M. E., Unified mixture-model based terrain estimation with Markov Random Fields, in IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012, pp. 238–243.
2011
N. Ahmed, Sample, E. M., Ho, K., Hoossainy, T., and Campbell, M. E., Categorical Soft Data Fusion via Variational Bayesian Importance Sampling , with Applications to Cooperative Search, in American Control Conference, San Francisco, CA, 2011, pp. 1268–1273.
J. Hardy and Campbell, M. E., Clustering obstacle predictions to improve contingency planning for autonomous road vehicles in congested environments, in IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, 2011, pp. 1605–1611.
W. W. Whitacre and Campbell, M. E., Decentralized Geolocation and Bias Estimation for Uninhabited Aerial Vehicles with Articulating Cameras, AIAA Journal of Guidance, Control, and Dynamics, vol. 34, pp. 564–573, 2011.
S. Ponda, Ahmed, N., Luders, B., Sample, E. M., Hoossainy, T., Shah, D. C., Campbell, M. E., and How, J. P., Decentralized Information-Rich Planning and Hybrid Sensor Fusion for Uncertainty Reduction in Human-Robot Missions, in AIAA Guidance, Navigation, and Control Conference, Portland, OR, 2011, pp. 1–22.
I. Miller, Campbell, M. E., and Huttenlocher, D., Efficient Unbiased Tracking of Multiple Dynamic Obstacles Under Large Viewpoint Changes, IEEE Transactions on Robotics, vol. 27, pp. 29–46, 2011.
I. Miller, Campbell, M. E., and Huttenlocher, D., Map-aided localization in sparse global positioning system environments using vision and particle filtering, Journal of Field Robotics, vol. 28, pp. 619–643, 2011.
B. Jones, Campbell, M. E., and Tong, L., Maximum likelihood combining of stochastic maps, in Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011, pp. 1238–1241.
C. Rivadeneyra and Campbell, M. E., Probabilistic multi-level maps from LIDAR data, The International Journal of Robotics Research, vol. 30, pp. 1508–1526, 2011.
I. Miller and Campbell, M. E., Probabilistic Validation of Simplified Models of Spacecraft Formations near Libration Points, IEEE Transactions on Aerospace and Electronic Systems, vol. 47, pp. 2779–2791, 2011.
D. C. Shah and Campbell, M. E., A robust qualitative planner for mobile robot navigation using human-provided maps, in IEEE International Conference on Robotics and Automation, Shanghai, 2011, pp. 2580–2585.
T. H. McLoughlin and Campbell, M. E., Solutions to Periodic Sensor Scheduling Problems for Formation Flying Missions in Deep Space, IEEE Transactions on Aerospace and Electronic Systems, vol. 47, pp. 1351–1368, 2011.
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.
N. Ahmed and Campbell, M. E., Variational Learning of Autoregressive Mixtures of Experts for Fully Bayesian Hybrid System Identification, in American Control Conference, San Francisco, CA, 2011.
2010
M. McClelland and Campbell, M. E., Anticipation as a Method for Overcoming Time Delay in Control of Remote Systems, in AIAA Guidance, Navigation, and Control Conference, Toronto, Canada, 2010.
M. E. Campbell, Egerstedt, M., How, J. P., and Murray, R. M., Autonomous driving in urban environments: approaches, lessons and challenges., Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 368, pp. 4649–72, 2010.
J. Hardy and Campbell, M. E., Contingency planning over probabilistic hybrid obstacle predictions for autonomous road vehicles, in IEEE/RSJ International Conference on Intelligent Robots and Systems, Taipei, Taiwan, 2010, pp. 2237–2242.
F. Havlak and Campbell, M. E., Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments, in SPIE Europe Conference on Unmanned/Unattended Sensors and Sensor Networks, Toulouse, France, 2010, vol. 7833, p. 78330H–78330H–13.

Pages