EPSRC Reference: |
GR/K84202/01 |
Title: |
INVARIANT AND SALIENT SIGNATURES FOR VISUAL SERVING |
Principal Investigator: |
Cippola, Professor R |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Engineering |
Organisation: |
University of Cambridge |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
06 November 1996 |
Ends: |
05 November 1999 |
Value (£): |
166,699
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
We propose a project to develop novel algorithms for visual servoing which will help guide robots to navigate to a destination accurately and reliably in a cluttered environment. The proposed system will combine new techniques to extract geometrically salient curves from arbitrary viewpoints and match curves based on geometric invariants. The invariant-based matching enables learning and identification of target objects in complex scenes with occlusion and relative notion between an observer and the objects. The qualitative visual servoing provides robust navigation to the targets. The results of this research are important for controlling autonomous vehicles safely and navigating assembly robots reliably in complex and hazardous environments.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.cam.ac.uk |