Artificial intelligence publications
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Using binocular stereopsis for lane following and lane changing maneuvers
Keywords: Artificial Intelligence, Artificial Intelligence Center, AIC
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Canonic representations for the geometries of multiple projective views
We show how a special decomposition of general projection matrices, called canonic enables us to build geometric descriptions for a system of cameras which are invariant with respect to a given group…
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Automated Drawing of Metabolic Pathways
This paper presents algorithms for drawing metabolic pathways by dynamically querying the underlying knowledge base.
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Computing motion and structure in image sequences without calibration
This paper proposes an algebraic method to generalize the usual equations of structure from motion, when calibration is not available.
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Integrating Planning and Reactive Control
Agents situated in dynamic and unpredictable environments require several capabilities, including synthesizing and executing plans while continuing to be responsive to the world.
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A stability analysis of the fundamental matrix
The Fundamental matrix is a key concept when working with uncalibrated images and multiple viewpoints. It contains all the available geometric information and enables to recover the epipolar geometry from…
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On the direct determination of epipoles: a case study in algebraic methods for geometric problems
Studies experimentally the problem of computing the position of the epipoles in a pair of uncalibrated images; three families of methods are successively considered.
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Robust Recovery of the Epipolar Geometry for an Uncalibrated Stereo Rig
This paper addresses the problem of accurately and automatically recovering the epipolar geometry from an uncalibrated stereo rig and its application to the image matching problem.
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Hybrid Reasoning using Universal Attachment
Universal attachment is a domain-independent mechanism for integrating diverse representation and reasoning methods into hybrid frameworks that contain a subsystem based on deduction over logical formulas.
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Representations of Metabolic Knowledge: Pathways
The chief contributions of the paper are a minimized representation for biochemical pathways called the predecessor list, and inference procedures for converting the predecessor list into a pathway-graph representation that…
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Representing, Analyzing, and Synthesizing Biochemical Pathways
This article describes challenges and opportunities for addressing computational problems in the metabolism with techniques from knowledge representation, planning, integration of heterogeneous databases, qualitative reasoning, knowledge acquisition, and machine learning.
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Evidential Reasoning and Project Early Warning Systems
PEWS combines a proven project reporting methodology with the latest artificial intelligence techniques such as evidential reasoning. Together, they ensure the successful outcome of large projects.