Jeffrey K. Uhlmann is an American research scientist who is probably best known for his mathematical generalizations of the Kalman filter.[1] Most of his publications and patents have been in the field of data fusion. He is also known for being a cult filmmaker and former recording artist.
Dr. Uhlmann is ranked in the top 2% among scientists worldwide in the Stanford University listing of most-cited researchers.[2]
Uhlmann has degrees in philosophy, computer science, and a doctorate in robotics from the University of Oxford.[3][4] He began work in 1987 at NRL's Laboratory for Computational Physics and Fluid Dynamics in Washington, DC, and remained at NRL until 2000. Since 2000 he has been a professor of computer science at the University of Missouri.[5]
He served for ten years as a co-founding member of the editorial board of the ACM Journal of Experimental Algorithmics (1995–2006) before becoming co-editor of the Synthesis Lectures on Quantum Computing series for Morgan & Claypool.[6]
Uhlmann's results are widely-applied in tracking, navigation, and control systems, including for the NASA Mars rover program.[11][12] His results relating to the constrained shortest path problem and simultaneous localization and mapping are also used in rover and autonomous vehicle applications.[13][14]
Films
Uhlmann has written, directed, produced, and/or acted in several prominent short and feature-length films. Notable examples include the animated short film Susan's Big Day[15] and the feature films Mil Mascaras vs. the Aztec Mummy, Academy of Doom, and Aztec Revenge. In recent years he has been a popular invited guest at international genre film festivals.[16]
Music
Uhlmann recorded and released a series of albums in the 1970s and 1980s. Some of his early experimental electronic albums have been reissued in their entirety on CD[17] or digital download[18] while his arguably better-known songs are only available on CD compilations.[19]
References
↑ 1.01.1Liggins, Martin; Hall, David; Llinas, James, eds (2008). "Chapters 14 and 15". Handbook of Multisensor Data Fusion (2 ed.). CRC Press.
↑Jeffrey Uhlmann (1999). "NASA Mars Rover: A Testbed for Evaluating Applications of Covariance Intersection". 3693.
↑Ali Boroujerdi; Jeffrey Uhlmann (1998). "An Efficient Algorithm for Computing Least Cost Paths with Turn Constraints". Information Processing Letters67 (6): 317–321. doi:10.1016/s0020-0190(98)00134-3.
↑S. J. Julier; J. K. Uhlmann (2007). "Using Covariance Intersection for SLAM". Robotics and Autonomous Systems55 (1): 3–20. doi:10.1016/j.robot.2006.06.011.