Jane Mulligan's Home Page
The Intelligence in Action Lab
What I do
I work on design and evaluation of sensor systems for autonomous
navigation; speed, accuracy and representational issues for real-time
stereo reconstruction; and modeling human motion and appearance.
Research Area:
Stereo vision; Immersive
Telepresence; Image-based virtual environments; and Vision-based robot
navigation.
Students
Advice to PhD Students.
Recent Publications:
- Adam R. Bates, Avleen S. Bijral, Jane Mulligan, and Greg
Grudic. Traversable path identification in unstructured terrains: A
markov random walk approach. In Proc. 2009 IEEE International
Conference on Robotics and Automation (ICRA2009), 2009.
- Michael W. Otte, Scott G. Richardson, Jane Mulligan,
Gregory Grudic, Path planning in image space for autonomous robot
navigation in unstructured environments. In
Journal of Field Robotics , Volume 26, Issue 2 (February
2009), pp 212-240.
- Michael J. Procopio, Jane Mulligan, Gregory Grudic,
Learning terrain segmentation with classifier ensembles for autonomous
robot navigation in unstructured environments . In
Journal of Field Robotics , Volume 26, Issue 2 (February
2009), pp 145-175.
- Wei Xu and Jane Mulligan, Robust relative pose estimation with
integrated cheirality constraint, In
Proc. 19th Intl. Conf on Pattern. Recognition , Dec. 2008.
- Michael J. Procopio, Jane Mulligan, and Greg
Grudic. Learning in Dynamic Environments with Ensemble Selection for
Autonomous Outdoor Robot Navigation. In Proc. Intl. Conf on
Intelligent Robots and Systems (IROS08) , Nice, France, Sept. 2008.
- Michael J. Procopio, Jane Mulligan, and Greg Grudic. Long-term learning using multiple models for outdoor autonomous robot navigation.
In Proc. Intl. Conf on Intelligent Robots and Systems (IROS07), San
Diego, CA, Oct. 2007.
- Michael W. Otte, Scott G. Richardson, Jane Mulligan, and
Gregory Grudic. Local path planning in image space for autonomous
robot navigation in unstructured environments. In Proc. Intl. Conf
on Intelligent Robots and Systems (IROS07), San Diego, CA,
Oct. 2007.
- Greg Grudic, Jane Mulligan, Michael Otte, and Adam
Bates. Online learning of multiple perceptual models for navigation in
unknown terrain. In Proceedings of the 6th International Conference
on Field and Service Robotics, Chamonix, Fr, 2007.
- Michael Procopio, Thomas Strohmann, Adam Bates, Greg Grudic, and
Jane Mulligan. Using binary classifiers to augment stereo
vision for enhanced autonomous robot navigation.Computer Science
CU-CS-1027-07, University of Colorado, Boulder, CO, April
2007.
- Jane Mulligan. Speed versus quality - measuring and optimizing stereo for telepresence. In Laurence
Harris and Michael Jenkin, editors, Computational Vision in Neural and Machine Systems. Cambridge
University Press, 2007.
- G. Grudic and J. Mulligan. Outdoor path labeling using polynomial mahalanobis distance. In Proceedings of Robotics: Science and Systems, Philadelphia, USA, August 2006. [pdf]
Computer Vision Area Exam 2009
Campus maps.
Engineering Center Map.
My Curriculum Vitae.
Useful pointers.