Abstract
This paper provides a summary of the research conducted at the University of Maryland during the past five years on problems associated with visual navigation of ground vehicles. This research has been driven by a variety of scientific and engineering goals, including
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the identification of principles of organization for autonomous navigation systems,
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the identification of fundamental scientific problems that must be addressed in the course of designing and developing visual navigation systems, and
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the implementation of prototype visual navigation systems that operate in the real world (ideally in real time) and demonstrate progress toward the solution of a specific problem in visual navigation.
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References
Allen, E. (1983). “YAPS: Yet Another Production System.” University of Maryland Computer Science Technical Report 1146, December.
Aloimonos, J. (1990). “Purposive and Qualitative Active Vision.” Proc. Image Understanding Workshop, September 1990.
Boult, T. B., and Kender, J. R. (1985). “On Surface Reconstruction Using Space Depth Data.” Proceedings Image Understanding Workshop, Miami Beach, Florida, December 1985, 197–208.
Brooks, R. (1985). “A Robust Control System for a Mobile Robot.” IEEE Transactions on Robotics and Automation 2, 14–23.
Choi, D. J., and Kender, J. R. (1985). “Solving the Depth Interpolation Problem with the Adaptive Chebyshev Acceleration Method on a Parallel Computer.” Proceedings: Image Understanding Workshop, Miami Beach, Florida, December 1985, 219–223.
Davis, L. S., DeMenthon, D., Bestul, T., Harwood, D., Srinivasan, H. V., and Ziavras, S. (1989). “RAMBO: Vision and Planning on the Connection Machine.” Proc. Image Understanding Workshop, May 1989.
DeMenthon, D. (1987). A Zero-Bank Algorithm for Inverse Perspective of a Road from a Single Image.” IEEE International Conference on Robotics and Automation, 1444–1449.
DeMenthon, D. (1988). “Reconstruction of a Road by Matching Edge Points in the Road Image.” University of Maryland Center for Automation Research Center Technical Report 368, June.
DeMenthon, D., and Davis, L. S., (1980). “Reconstruction of a Road by Local Image Matches and Global 3D Optimization.” IEEE International Conference on Robotics and Automation, 1337–1342.
Dickinson, S., and Davis, L. (1990). “A Flexible Tool for Prototyping ALV Road Following Algorithms.” IEEE Transactions on Robotics and Automation 6 (2), 232–242.
Dickmanns, E. D., and V. Graefe, V. (1988). “Dynamic Monocular Machine Vision” and “Applications of Dynamic Monocular Machine Vision.” Machine Vision and Applications, International Journal, Springer-Verlag International, Berlin and New York.
Kanatani, K., and DeMenthon, D. (1988). “Reconstruction of 3D Road Shape from Images: A Computational Challenge.” Center for Automation Research Technical Report CAR-TR-413, December.
Kanatani, K., Watanabe, K. (1989). “Computing 3D Road Shape from Images for ALV: A Challenge to an Ill-Posed Problem.” Computer Science Technical Report CS-89–5, Gunma University, June.
Kanatani, K., and Watanabe, K. (1980). “Reconstruction of 3D Road Geometry from Images for Autonomous Land Vehicles.” IEEE Transactions on Robotics and Automation 6 (2), 127–132.
Larrowe, V. (1986). “Operating Principles of Laser Ranging, Image Producing (3D) Sensors.” Environmental Research Institute of Michigan, Ann Arbor, March.
Liou, S., and Jain, R. (1985). “Detecting Road Edges Using Hypothesized Vanishing Points.” Robot Systems Technical Report 18–85, Department of Electrical Engineering and Computer Science, University of Michigan.
Morgenthaler, D., Henessy, S., and DeMenthon, D. (1990). “Range-Video Fusion and Comparison of Inverse Perspective Algorithms.” IEEE Trans, on Systems, Man, and Cybernetics, Special Issue on Unmanned Systems and Vehicles, November–December.
Ozawa, S., and Rosenfeld, A. (1986). “Synthesis of a Road Image as Seen from a Vehicle.” Pattern Recognition 19, 123–145.
Thorpe, C., Hebert, M., Kanade, T., and Shafer, S. (1988). “Vision and Navigation for the Carnegie—Mellon Navlab.” IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 362–373.
Turk, M., Morgenthaler, D., Gremban, K., and Marra, M. (1988). “VITS—A Vision System for Autonomous Land Vehicle Navigation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 10, 342–361.
Veatch, P., and Davis, L. (1990). “Range Imagery Algorithms for the Detection of Obstacles by Autonomous Vehicles.” Computer Vision, Graphics and Image Processing 50, 50–74.
Waxman, A., LeMoigne, L., Davis, L., Srinivasan, B., Kushner, T., Liang, E., and Siddalingaiah, T. (1987). “A Visual Navigation System for Autonomous Land Vehicles.” IEEE Transactions on Robotics and Automation 2, 124–142.
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© 1992 Springer-Verlag New York, Inc.
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Davis, L.S., DeMenthon, D., Dickinson, S., Veatch, P. (1992). Algorithms for Road Navigation. In: Masaki, I. (eds) Vision-based Vehicle Guidance. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2778-6_3
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DOI: https://doi.org/10.1007/978-1-4612-2778-6_3
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