Dissertation
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C. Rasmussen
Integrating Multiple Visual Cues for Robust Tracking
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[22.1 MB]
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Journal Articles
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C. Rasmussen and G. Hager
Probabilistic Data Association Methods for
Tracking Complex Visual Objects
IEEE Transactions on Pattern Analysis and Machine
Intelligence (PAMI), 2001
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[2.4 MB]
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Conference Papers
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C. Rasmussen
Combining Laser Range, Color, and Texture Cues
for Autonomous Road Following
IEEE International Conference on Robotics and
Automation (ICRA), 2002
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[1.3 MB]
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T. Hong, C. Rasmussen, T. Chang, and M. Shneier
Fusing Ladar and Color Image Information
for Mobile Robot Feature Detection and Tracking
7th International Conference on Intelligent
Autonomous Systems, 2002
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[1.1 MB]
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C. Rasmussen
Laser Range-, Color-, and Texture-based Classifiers
for Segmenting Marginal Roads
CVPR 2001 Technical Sketches
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[2.9 MB]
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C. Rasmussen
Joint Likelihood Methods for Mitigating Visual
Disturbances
IEEE Workshop on Multi-Object Tracking, 2001
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[3.1 MB]
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C. Rasmussen and G. Hager
Joint Probabilistic Techniques for Tracking Objects Using
Multiple Visual Cues
IROS 98
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[0.2 MB]
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C. Rasmussen and G. Hager
Joint Probabilistic Techniques for Tracking Multi-Part
Objects
CVPR 98
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[0.9 MB]
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G. Hager, D. Kriegman, E. Yeh, and C. Rasmussen
Image-based Prediction of Landmark Features for Mobile
Robot Navigation
ICRA 97
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[1.2 MB] |
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C. Rasmussen and G. Hager
Robot Navigation Using Image Sequences
AAAI 96
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[0.9 MB] |
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Technical Reports
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C. Rasmussen
Visual Learning for Collision Avoidance in a Simulated
Environment
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[0.3 MB] |
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C. Rasmussen, K. Toyama, and G. Hager
Tracking Objects By Color Alone
June, 1996
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[0.6 MB] |
