G. Hager, D. Kriegman, A. Georghiades, and O. BenShahar. Toward Domain-Independent Navigation: Dynamic Vision and Control . CDC, 1998. Home/Search Document Details and Download
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This paper is cited in the following contexts:
Optimal Motion Planning in the Image Plane for Mobile Robots - Zhang, Ostrowski (2000) (2 citations) (Correct)
....electronic engineering technology, the utilization of vision sensors has never been greater. Today, many robots are equipped with one or two cameras, for example, the Nomad 2000, Sony s AIBO dog like robot, and unmanned blimps [21] Thus, it is not a surprise that vision based motion planning [2, 5] is a topic that is currently inspiring new research. In the traditional study of motion planning, we generally assume that we know (or at least partially know) the position of the target and or the robot. However, the direct outputs of vision sensors are generally not position information, but ....
G. D. Hager, D. Kriegman, A. Georghiades, and O. Ben-Shahar. Toward domain-independent navigation: Dynamic vision and control. 1998.
Visual Path Following with a Catadioptric Panoramic Camera - Gaspar, Santos-Victor (1999) (5 citations) (Correct)
....to obtain bird s eye views of the ground plane. This representation allows algorithmic simplifications because perspective effects of the ground floor are eliminated. For example, position information for ground points is available without reconstruction [4] or uncalibrated reconstruction [6], and ground features move rigidly in these images, thus being easier to track. An algorithm Email:jag isr.ist.utl.pt, jasv isr.ist.utl.pt for tracking ground features (corners) is presented and utilising this, mobile robot self localisation is shown to be achievable. Then, with the addition ....
G. Hager, D. J. Kriegman, A. S. Georghiades, and O. Ben-Shahar. Toward domain-independent navigation: Dynamic vision and control. In IEEE CDC'98, Dec. 1998.
Vision-Based Control of Mobile Robots - Darius Burschka And (2001) Self-citation (Hager) (Correct)
No context found.
G. Hager, D. Kriegman, A. Georghiades, and O. BenShahar. Toward Domain-Independent Navigation: Dynamic Vision and Control . CDC, 1998.
Selecting Promising Landmarks - Knapek, Oropeza, Kriegman (2000) (5 citations) Self-citation (Kriegman) (Correct)
.... to visual servoing are based on tracking feature points in an image sequence that correspond to the projection of viewpoint independent features of the 3 D scene or object [5, 6, 14] Similarly, numerous approaches to vision based mobile robot navigation recognize and possibly track landmarks [1, 7, 9, 12, 18]. Except within speci c applications, most visual servoing implementations have either used a catalogue of model application speci c landmarks or relied on a person to initialize tracking. In most mobile robotics implementations, the robot s landmark recognition system is provided with a catalogue ....
....the error rate and increase the speed. A related approach by Schmid and Mohr was to use a quasi invariant of a collection of features when indexing, and this was shown to decrease the number of false matches [10] For our projected use of natural landmarks in visionbased mobile robot navigation [1], the expected image location of the landmarks could be predicted which would reduce the search space and decrease the likelihood of false matches such that quasi invariant indexing should be unnecessary. Finally, perceptual distinctiveness should not be the sole criteria for selection. The task ....
G. Hager, D. Kriegman, A. Georghiades, and O. BenShahar. Toward domain-independent navigation: Dynamic vision and control. In IEEE Conf. on Decision & Control, 1998.
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