A. Briggs, D. Scharstein, and S. Abbott. Reliable Mobile Robot Navigation From Unreliable Visual Cues. In Fourth International Workshop on the Algorithmic Foundations of Robotics, Hanover, NH, USA, March 2000. 98 Home/Search Document Details and Download
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Towards A Team of Robots with Repair Capabilities: A Visual.. - Bererton, Khosla (2000) (2 citations) (Correct)
....image was a large source of error. Though a human could clearly distinguish the target in the image at 55 cm, the binarization caused the outlines of the target to become indistinguishable from the background and the remaining steps in the algorithm to fail. There are several solutions to this. In [17], they used a self similar pattern that could be easily recognized in the image. This approach could also be used here, but is significantly more processing intensive than our approach. Another approach would be to use a color camera and a target of a unique color as has been used in several other ....
A. Briggs, D. Scharstein and S. Abbott. Reliable Mobile Robot Navigation From Unreliable Visual Cues. Workshop on the Algorithmic Foundations of Robotics (WAFR 2000).
Mobile Robot Navigation Using Self-Similar Landmarks - Briggs, Scharstein.. (2000) Self-citation (Briggs Scharstein) (Correct)
.... the strategy outlined above is a workable approach to dealing with the uncertainties associated with landmark detection, a more robust algorithm results from applying a probabilistic model of landmark detection, which allows optimal path planning based on the notion of expected shortest paths [2]. To do this, we annotate each edge a b in the visibility graph with a probability p ab that measures the likelihood that landmark b can be detected from landmark a. An estimate p ab for this probability can be derived from the history of observations made by the robot at landmark a; in the ....
....landmarks. Since the probability estimates are continuously updated as the robot travels, this represents a robust way of dealing with both temporary failures of detection (e.g. temporary occlusion) and permanent changes to the environment (e.g. added or removed landmarks) For more details see [2]. 5 Conclusion In this paper we have presented a new system for landmark based navigation in an unmodeled environment. Localization and navigation are done using simple and unobtrusive patterns mounted on the walls. Our landmarks consist of a self similar intensity pattern coupled with a barcode ....
A. Briggs, D. Scharstein, and S. Abbott. Reliable mobile robot navigation from unreliable visual cues. In Fourth International Workshop on Algorithmic Foundations of Robotics (WAFR
for Vision-Based Navigation - Pablo Sala For (Correct)
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A. Briggs, D. Scharstein, and S. Abbott. Reliable Mobile Robot Navigation From Unreliable Visual Cues. In Fourth International Workshop on the Algorithmic Foundations of Robotics, Hanover, NH, USA, March 2000. 98
Mobile Robot Localization with Sparse Landmarks - Fairfield, Maxwell (2001) (2 citations) (Correct)
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A. Briggs, D. Scharsctein, and S. Abbott, "Reliable mobile robot navigation from unreliable visual cues," in Fourth International Workshop on Algorithmic Foundations of Robatics, WAFR, 2000.
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