Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation
Abstract
In this paper, we will review the process of evidence accumulation in the PSEIKI system for expectation-driven interpretation of images of 3-D scenes. Expectations are presented to PSEIKI as a geometrical hierarchy of abstractions. PSEIKI's job is then to construct abstraction hierarchies in the perceived image taking cues from the abstraction hierarchies in the expectations. The Dempster-Shafer formalism is used for associating belief values with the different possible labels for the constructed abstractions in the perceived image. This system has been used successfully for autonomous navigation of a mobile robot in indoor environments.
Cite
Text
Kak et al. "Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation." Conference on Uncertainty in Artificial Intelligence, 1989.Markdown
[Kak et al. "Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation." Conference on Uncertainty in Artificial Intelligence, 1989.](https://mlanthology.org/uai/1989/kak1989uai-hierarchical/)BibTeX
@inproceedings{kak1989uai-hierarchical,
title = {{Hierarchical Evidence Accumulation in the Pseiki System and Experiments in Model-Driven Mobile Robot Navigation}},
author = {Kak, A. C. and Andress, K. M. and Lopez-Abadia, C. and Carroll, M. S. and Lewis, J. R.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1989},
url = {https://mlanthology.org/uai/1989/kak1989uai-hierarchical/}
}