EPSRC Reference: |
GR/R16150/01 |
Title: |
Visual and Non-Visual Information For the Control of Steering |
Principal Investigator: |
Land, Professor M |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Biology and Environmental Science |
Organisation: |
University of Sussex |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 October 2001 |
Ends: |
30 September 2004 |
Value (£): |
52,803
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EPSRC Research Topic Classifications: |
Vision & Senses - ICT appl. |
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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 |
The control of self motion is fundamental to the skilled behaviour of most animals. In human behaviour it arises in the everyday activities of walking, cycling or driving, but also in more abstract settings such as navigating through 3D VR simulations or controlling a remote vehicle. Despite 40 years of interest in this topic the research literature is vague as to how a skilled operator can control a vehicle around a road bend at high speed. Previous research has been primarily directed toward image processing themes, whereby a percept of heading can be recovered from the retinal velocity flow field. The adequacy of this explanation, however, has been called into question (Rushton et al, 1998; Rogers et al, 1999; Wann & Land, 2000). Steering can be accomplished by using active gaze with either visual direction information or 'raw' retinal flow patterns, but without recovering heading. The proposed experiments will address the use of these sources of locomotor information on 3 levels: Simulation experiments on the relative contribution of flow and visual direction. Observations of highly skilled performance in natural tasks. Simulation experiments on gaze sampling in path perception and planning. This information is of relevance to human behaviour in both natural and simulated (VR) environments as well as machine vision/robotics.
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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.sussex.ac.uk |